1. A method for analysing the impact of social influencers on market competition using game theory, comprising: identifying a set of social influencers in a particular market; generating a game theory model based on said set of social influencers, said game theory model comprising a plurality of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behaviour influenced by said social influencers; solving said game theory model to determine a set of equilibrium seller strategies; analysing said set of equilibrium seller strategies to identify the impact of said social influencers on market competition; and outputting said impact analysis to a user.

2. The method of claim 1, wherein said set of social influencers are identified based on their level of influence in said particular market.

3. The method of claim 1, wherein said data comprises historical transaction data, seller performance data, and consumer behaviour data.

4. The method of claim 1, wherein said game theory model is a non-cooperative game model.

5. The method of claim 1, wherein said equilibrium seller strategies comprise Nash equilibrium strategies.

6. A system for analysing the impact of social influencers on market competition using game theory, comprising: a social influencer identification module configured to identify a set of social influencers in a particular market; a game theory module configured to generate a game theory model based on said set of social influencers, said game theory model comprising a plurality of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behaviour influenced by said social influencers; a solver module configured to solve said game theory model to determine a set of equilibrium seller strategies; an impact analysis module configured to analyse said set of equilibrium seller strategies to identify the impact of said social influencers on market competition; and an output module configured to output said impact analysis to a user.

7. The system of claim 6, wherein said social influencer identification module is configured to identify social influencers based on their level of influence in said particular market.

8. The system of claim 6, wherein said data input module is configured to receive historical transaction data, seller performance data, and consumer behaviour data.

9. The system of claim 6, wherein said game theory model is a non-cooperative game model. Analyzing the Impact of Social Influencers on Market Competition Using Game Theory Abstract This invention describes a system for analyzing the impact of social influencers on market competition using game theory. The system includes a social influencer identification module that identifies a set of social influencers in a particular market. A game theory module generates a game theory model based on the set of social influencers, comprising a plurality of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behavior influenced by the social influencers. A solver module solves the game theory model to determine a set of equilibrium seller strategies. An impact analysis module analyzes the set of equilibrium seller strategies to identify the impact of the social influencers on market competition. An output module then outputs the impact analysis to the user. By using game theory to model the behavior of sellers and consumers, the system can identify the most effective strategies for businesses to compete in the market. The system takes into account the impact of social influencers on consumer behavior, allowing businesses to make more informed decisions when developing marketing strategies. , Claims:Claims :

1. A method for analysing the impact of social influencers on market competition using game theory, comprising: identifying a set of social influencers in a particular market; generating a game theory model based on said set of social influencers, said game theory model comprising a plurality of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behaviour influenced by said social influencers; solving said game theory model to determine a set of equilibrium seller strategies; analysing said set of equilibrium seller strategies to identify the impact of said social influencers on market competition; and outputting said impact analysis to a user.

2. The method of claim 1, wherein said set of social influencers are identified based on their level of influence in said particular market.

3. The method of claim 1, wherein said data comprises historical transaction data, seller performance data, and consumer behaviour data.

4. The method of claim 1, wherein said game theory model is a non-cooperative game model.

5. The method of claim 1, wherein said equilibrium seller strategies comprise Nash equilibrium strategies.

6. A system for analysing the impact of social influencers on market competition using game theory, comprising: a social influencer identification module configured to identify a set of social influencers in a particular market; a game theory module configured to generate a game theory model based on said set of social influencers, said game theory model comprising a plurality of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behaviour influenced by said social influencers; a solver module configured to solve said game theory model to determine a set of equilibrium seller strategies; an impact analysis module configured to analyse said set of equilibrium seller strategies to identify the impact of said social influencers on market competition; and an output module configured to output said impact analysis to a user.

7. The system of claim 6, wherein said social influencer identification module is configured to identify social influencers based on their level of influence in said particular market.

8. The system of claim 6, wherein said data input module is configured to receive historical transaction data, seller performance data, and consumer behaviour data.

9. The system of claim 6, wherein said game theory model is a non-cooperative game model.

Description:Analyzing the Impact of Social Influencers on Market Competition Using Game Theory
Field of the Invention
[0001] The present invention relates to analyzing the impact of social influencers on market competition, and more particularly, to a method and system for using game theory to analyze the impact of social influencers on market competition. The invention comprises a method that uses data analytics and game theory to analyze the impact of social influencers on market competition. The method includes collecting data on social influencers and market competition, identifying relevant variables, constructing a game theoretical model, and using the model to analyze the impact of social influencers on market competition. The invention also comprises a system for implementing the method.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] In recent years, social influencers have emerged as a powerful force in shaping consumer behavior and driving market competition. Social influencers are individuals who have a large following on social media and who are able to influence the purchasing decisions of their followers. With the rise of influencer marketing, it has become increasingly important for businesses to understand the impact of social influencers on market competition. Game theory provides a powerful tool for analyzing the strategic interactions between businesses and social influencers.
[0004] Game theory is a mathematical framework for modeling strategic interactions between players in a game. In the context of market competition, the players can be thought of as businesses and social influencers who compete for the attention and business of consumers. The strategies available to businesses and social influencers include pricing, product features, customer service, and marketing.
[0005] The game theoretical approach to analyzing the impact of social influencers on market competition involves several steps. First, the different strategies available to each player need to be identified. These can include different pricing strategies, product features, and marketing tactics.
[0006] Next, the payoffs for each player need to be determined. These payoffs can be based on a variety of factors such as sales, revenue, profit margins, and brand reputation. The payoffs for each player are then used to construct a game matrix that represents the interactions between the different players and their strategies.
[0007] Using game theory analysis, the most favorable strategies for each player can be predicted under different market conditions. For example, game theory can be used to predict how social influencers will respond to different marketing strategies adopted by businesses and how businesses can optimize their marketing strategies to appeal to their target audience and increase sales.
[0008] Several studies have demonstrated the effectiveness of using game theory to analyze the impact of social influencers on market competition. For example, in a study by Zhang et al. (2018), game theory was used to analyze the optimal marketing strategies for businesses in the presence of social influencers in the fashion industry. The results showed that businesses should focus on building relationships with social influencers and providing them with incentives to promote their products.
[0009] In another study by Lu et al. (2021), game theory was used to analyze the strategic interactions between businesses and social influencers in the mobile app industry. The results showed that businesses should adopt a dynamic pricing strategy that responds to changes in the market demand and the behavior of social influencers.
[00010] Thus, the game theoretical approach to analyzing the impact of social influencers on market competition represents a powerful tool for businesses seeking to gain a competitive advantage. By understanding the strategic interactions between businesses and social influencers and predicting how each player is likely to respond, businesses can make better decisions about pricing, product features, and marketing strategies, resulting in increased sales and profitability.
[00011] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
[00012] It also shall be noted that as used herein and in the appended claims, the singular forms “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. This invention can be achieved by means of hardware including several different elements or by means of a suitably programmed computer. In the unit claims that list several means, several ones among these means can be specifically embodied in the same hardware item. The use of such words as first, second, third does not represent any order, which can be simply explained as names.
Summary
[00013] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00014] A new method for analyzing the impact of social influencers on market competition has been developed, using game theory. The method involves several steps, including identifying a set of social influencers in a particular market based on their level of influence. Historical transaction data, seller performance data, and consumer behavior data are also collected.
[00015] Using this data, a game theory model is generated that includes a range of seller strategies and outcomes associated with each combination of seller strategies and consumer behavior influenced by the social influencers. The model is solved using a non-cooperative game model to determine a set of equilibrium seller strategies, which comprise Nash equilibrium strategies.
[00016] The set of equilibrium seller strategies is then analyzed to identify the impact of social influencers on market competition. This analysis can provide insights into the ways in which social influencers affect the behavior of consumers and the strategies of sellers. The impact analysis is then output to a user through visualizations and reports, providing key findings and informing effective marketing strategies.
[00017] Overall, this method offers a powerful tool for businesses looking to understand the impact of social influencers on their markets. By using game theory to model the behavior of consumers and sellers, and analyzing the impact of social influencers on this behavior, the method can provide valuable insights into market competition and inform effective marketing strategies.
[00018] The present invention relates to analyzing the impact of social influencers on market competition, and more particularly, to a method and system for using game theory to analyze the impact of social influencers on market competition. The invention comprises a method that uses data analytics and game theory to analyze the impact of social influencers on market competition. The method includes collecting data on social influencers and market competition, identifying relevant variables, constructing a game theoretical model, and using the model to analyze the impact of social influencers on market competition. The invention also comprises a system for implementing the method.
[00019] The use of social influencers in marketing has become increasingly popular in recent years, with many businesses leveraging their reach to target specific demographics. However, the impact of social influencers on market competition has not been well understood. To address this, a new system has been developed that uses game theory to analyze the impact of social influencers on market competition.
[00020] The system comprises several modules, including a social influencer identification module that identifies a set of social influencers in a particular market. This module considers the level of influence that each influencer has in the market, based on factors such as their number of followers and engagement rates.
[00021] A game theory module is then used to generate a game theory model based on the identified set of social influencers. This model includes a range of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behavior influenced by the social influencers. The system uses a non-cooperative game model to determine a set of equilibrium seller strategies.
[00022] The system also includes an impact analysis module, which analyzes the set of equilibrium seller strategies to identify the impact of social influencers on market competition. This analysis can provide insights into the ways in which social influencers affect the behavior of consumers and the strategies of sellers.
[00023] The system can also receive historical transaction data, seller performance data, and consumer behavior data through a data input module. This data can be used to refine the game theory model and provide more accurate analysis of the impact of social influencers on market competition.
[00024] Finally, an output module is used to present the results of the impact analysis to a user. This module can provide visualizations and reports that highlight the key findings of the analysis, helping businesses to make informed decisions about their marketing strategies.
[00025] Overall, this system offers a powerful tool for businesses looking to understand the impact of social influencers on their markets. By using game theory to model the behavior of consumers and sellers, and analyzing the impact of social influencers on this behavior, the system can provide valuable insights into market competition and inform effective marketing strategies.
Brief Description of the Drawings
[00026] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00027] FIG. 1 shows an exemplary detailed schematic flow diagram of a method for analysing the impact of social influencers on market competition using game theory, according to some embodiments of the present disclosure.
[00028] FIG. 2 represents an overview of system for analysing the impact of social influencers on market competition using game theory, according to some embodiments of the present disclosure.
Detailed Description
[00029] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00030] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00031] Throughout the present disclosure, the term “network” relates to an arrangement of interconnected programmable and/or non-programmable components that are configured to facilitate data communication between one or more electronic devices and/or databases, whether available or known at the time of filing or as later developed. Furthermore, the network may include, but is not limited to, one or more peer-to-peer network, a hybrid peer-to-peer network, local area networks (LANs), radio access networks (RANs), metropolitan area networks (MANS), wide area networks (WANs), all or a portion of a public network such as the global computer network known as the Internet, a private network, a cellular network and any other communication system or systems at one or more locations.
[00032] Throughout the present disclosure, the term “process”* relates to any collection or set of instructions executable by a computer or other digital system so as to configure the computer or the digital system to perform a task that is the intent of the process.
[00033] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.
[00034] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00035] The present invention relates to analyzing the impact of social influencers on market competition, and more particularly, to a method and system for using game theory to analyze the impact of social influencers on market competition. The invention comprises a method that uses data analytics and game theory to analyze the impact of social influencers on market competition. The method 100 includes collecting data on social influencers and market competition (at step 102), identifying relevant variables 104, constructing a game theoretical model (at step 106), and (at step 108) using the model to analyze the impact of social influencers on market competition. The invention also comprises a system for implementing the method.
[00036] FIG 1. portrays the method can be applied to the beauty industry, where social influencers play a significant role in promoting products and driving sales. The set of social influencers can be identified based on factors such as their follower count, engagement rate, and niche within the beauty industry. For example, a cosmetics company may use this method to analyse the impact of beauty influencers on their sales and market share, and identify the optimal influencer partnerships to increase their reach and revenue.
[00037] In an embodiment, the method can be used in the fashion industry, where social influencers often collaborate with clothing brands to promote their products. The set of social influencers can be identified based on factors such as their style, follower count, and engagement rate. For example, a clothing brand may use this method to analyse the impact of fashion influencers on their sales and brand awareness, and identify the most effective influencer partnerships to increase their market share.
[00038] In an embodiment, the method can be applied to the gaming industry, where social influencers often stream or create content featuring specific games or products. The set of social influencers can be identified based on factors such as their streaming platform, audience demographics, and content niche. For example, a gaming company may use this method to analyse the impact of gaming influencers on their game sales and user acquisition, and identify the most effective influencer partnerships to increase their player base.
[00039] In an embodiment, the method can be used in the food and beverage industry, where social influencers often promote restaurants and food products. The set of social influencers can be identified based on factors such as their food preferences, follower count, and engagement rate. For example, a restaurant owner may use this method to analyse the impact of food influencers on their customer traffic and revenue, and identify the most effective influencer partnerships to increase their market share.
[00040] In an embodiment, the method can be applied to the technology industry, where social influencers often review and promote technology products. The set of social influencers can be identified based on factors such as their expertise, follower count, and engagement rate. For example, a technology company may use this method to analyse the impact of tech influencers on their product sales and brand reputation, and identify the most effective influencer partnerships to increase their market share. Thus, the method for analysing the impact of social influencers on market competition using game theory allows for a more precise and data-driven approach to influencer marketing. The use of game theory models allows for the analysis of various scenarios and outcomes, helping businesses to identify the most effective influencer partnerships and improve their market performance.
[00041] In an embodiment, the method can be applied to the fitness industry, where social influencers with a high level of influence can significantly impact sales and brand awareness for fitness products. The set of social influencers can be identified based on their number of followers, engagement rate, and expertise in the industry. For example, a fitness supplement company may use this method to identify the most influential fitness influencers and target them with product promotions to increase sales.
[00042] In an embodiment, the method can be used in the travel industry, where social influencers with a high level of influence can drive traffic and bookings for hotels, tours, and destinations. The set of social influencers can be identified based on their follower count, engagement rate, and experience in travel blogging. For example, a travel company may use this method to identify the most influential travel influencers and collaborate with them to promote their services and attract more customers.
[00043] In an embodiment, the method can be applied to the music industry, where social influencers with a high level of influence can increase album sales and concert attendance for musicians. The set of social influencers can be identified based on their number of followers, engagement rate, and expertise in music criticism. For example, a music label may use this method to identify the most influential music critics and target them with promotional materials to increase the exposure of their artists.

[00044] In an embodiment, the method can be used in the home decor industry, where social influencers with a high level of influence can impact sales and brand awareness for home decor products. The set of social influencers can be identified based on their follower count, engagement rate, and expertise in home decor trends. For example, a furniture company may use this method to identify the most influential home decor influencers and collaborate with them to promote their products and increase sales.
[00045] In an embodiment, the method can be applied to the pet industry, where social influencers with a high level of influence can drive sales for pet products and services. The set of social influencers can be identified based on their number of followers, engagement rate, and expertise in pet care. For example, a pet food company may use this method to identify the most influential pet care influencers and target them with product promotions to increase sales. Thus, identifying the set of social influencers based on their level of influence in a particular market allows businesses to more effectively target their marketing efforts and increase their market performance. By using data-driven analysis to identify the most influential influencers, businesses can improve their return on investment and better compete in crowded markets.
[00046] FIG 2. represents a system 200 for analysing the impact of social influencers on market competition using game theory, comprising a social influencer identification module 202 configured to identify a set of social influencers in a particular market, a game theory module 204 configured to generate a game theory model based on said set of social influencers, said game theory model comprising a plurality of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behaviour influenced by said social influencers, a solver module 206 configured to solve said game theory model to determine a set of equilibrium seller strategies, an impact analysis module 208 configured to analyse said set of equilibrium seller strategies to identify the impact of said social influencers on market competition and an output module 210 configured to output said impact analysis to a user.
[00047] The social influencer identification module in the system can be configured to identify a set of social influencers in a particular market based on their level of influence. This can be done by analyzing data from social media platforms, such as Instagram, Twitter, and YouTube, to determine which accounts have the most followers, engagement rates, and other metrics that indicate influence.
[00048] The module can also take into account other factors such as the type of content the influencer creates, their demographics, and their reach. For example, if the system is being used to analyze the impact of social influencers on the beauty industry, the social influencer identification module can identify a set of beauty influencers based on their social media metrics, such as their number of followers, engagement rates, and the reach of their posts. The module can also take into account the type of content the influencer creates, such as makeup tutorials or skincare reviews, and their demographics, such as age and gender.
[00049] The data input module in the system can be configured to receive historical transaction data, seller performance data, and consumer behavior data. Historical transaction data can include data on past purchases, such as the types of products that were bought, the price points, and the locations of the purchases. Seller performance data can include data on the performance of different sellers in the market, such as their sales figures, their pricing strategies, and their marketing efforts.
[00050] Consumer behavior data can include data on the behavior of consumers in the market, such as their preferences, their purchasing habits, and their reactions to different marketing strategies. For example, if the system is being used to analyze the impact of social influencers on the fashion industry, the data input module can receive historical transaction data from fashion retailers, such as data on past purchases of clothing items and accessories. The module can also receive seller performance data from different fashion brands, such as their sales figures, their pricing strategies, and their marketing efforts on social media. Finally, the module can receive consumer behavior data, such as data on the preferences and purchasing habits of consumers in the fashion market.
[00051] The game theory module in the system can be configured to generate a game theory model based on the set of social influencers identified by the social influencer identification module. The game theory model can include a range of seller strategies and outcomes associated with each combination of seller strategies and consumer behavior influenced by the social influencers.
[00052] The game theory model can be a non-cooperative game model, which means that each player (seller) in the model is acting in their own self-interest and there is no cooperation between players. For example, if the system is being used to analyze the impact of social influencers on the food industry, the game theory module can generate a game theory model that includes different seller strategies, such as price promotions, product placements, and influencer collaborations. The module can also include outcomes associated with each combination of seller strategies and consumer behavior influenced by social influencers, such as the number of sales, the revenue generated, and the market share of different sellers.
[00053] The solver module in the system can be configured to solve the game theory model generated by the game theory module to determine a set of equilibrium seller strategies. The equilibrium seller strategies can be Nash equilibrium strategies, which are the strategies that no player can improve upon given the strategies of the other players. For example, if the system is being used to analyze the impact of social influencers on the technology industry, the solver module can solve the game theory model to determine a set of equilibrium seller strategies that maximize revenue and market share. The equilibrium strategies can include pricing strategies, product features, and marketing tactics that are optimized based on the behavior of The impact analysis module in the system can be configured to analyze the set of equilibrium seller strategies to identify the impact of social influencers on market competition. The analysis can provide insights into the ways in which social influencers affect the behavior of consumers and the strategies of sellers. This can help businesses make informed decisions about their marketing strategies.
[00054] For example, if the system is being used to analyze the impact of social influencers on the sports industry, the impact analysis module can identify how social influencers influence the purchasing decisions of consumers in the sports market. The module can also analyze the strategies of different sellers in the market and how they are affected by the influence of social influencers. This can help businesses understand the competitive landscape of the market and make decisions about how to effectively target consumers and compete with other sellers.
[00055] The output module in the system can be configured to present the results of the impact analysis to a user. This module can provide visualizations and reports that highlight the key findings of the analysis, helping businesses to make informed decisions about their marketing strategies. For example, if the system is being used to analyze the impact of social influencers on the travel industry, the output module can present the results of the analysis through visualizations, such as graphs and charts, that show the impact of social influencers on different aspects of the market, such as pricing and market share. The module can also provide reports that summarize the findings of the analysis and provide recommendations for businesses looking to effectively target consumers and compete with other sellers.
[00056] In conclusion, the system and method for analyzing the impact of social influencers on market competition using game theory offer a powerful tool for businesses looking to understand the impact of social influencers on their markets. By identifying a set of social influencers in a particular market, generating a game theory model based on their influence, solving the game theory model to determine equilibrium seller strategies, analyzing the impact of social influencers on market competition, and outputting the results to a user, the system can provide valuable insights into market competition and inform effective marketing strategies.
[00057] The above description is intended to be illustrative, and not restrictive. Although the present disclosure has been described with references to specific illustrative examples and implementations, it will be recognized that the present disclosure is not limited to the examples and implementations described. The scope of the disclosure should be determined with reference to the following claims, along with the full scope of equivalents to which the claims are entitled.
[00058] Modifications, additions, or omissions may be made to the systems and apparatuses described herein without departing from the scope of the disclosure. The components of the systems and apparatuses may be integrated or separated. Moreover, the operations of the systems and apparatuses may be performed by more, fewer, or other components. Additionally, operations of the systems and apparatuses may be performed using any suitable logic comprising software, hardware, and/or other logic. As used in this document, “each” refers to each member of a set or each member of a subset of a set.
[00059] The term “memory,” as used herein relates to a volatile or persistent medium, such as a magnetic disk, or optical disk, in which a computer can store data or software for any duration. Optionally, the memory is non-volatile mass storage such as physical storage media. Furthermore, a single memory may encompass and in a scenario wherein computing system is distributed, the processing, memory and/or storage capability may be distributed as well.
[00060] Throughout the present disclosure, the term ‘server’ relates to a structure and/or module that include programmable and/or non-programmable components configured to store, process and/or share information. Optionally, the server includes any arrangement of physical or virtual computational entities capable of enhancing information to perform various computational tasks.

Claims
I/We Claim:
1. A method for analysing the impact of social influencers on market competition using game theory, comprising: identifying a set of social influencers in a particular market; generating a game theory model based on said set of social influencers, said game theory model comprising a plurality of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behaviour influenced by said social influencers; solving said game theory model to determine a set of equilibrium seller strategies; analysing said set of equilibrium seller strategies to identify the impact of said social influencers on market competition; and outputting said impact analysis to a user.

2. The method of claim 1, wherein said set of social influencers are identified based on their level of influence in said particular market.

3. The method of claim 1, wherein said data comprises historical transaction data, seller performance data, and consumer behaviour data.

4. The method of claim 1, wherein said game theory model is a non-cooperative game model.

5. The method of claim 1, wherein said equilibrium seller strategies comprise Nash equilibrium strategies.

6. A system for analysing the impact of social influencers on market competition using game theory, comprising: a social influencer identification module configured to identify a set of social influencers in a particular market; a game theory module configured to generate a game theory model based on said set of social influencers, said game theory model comprising a plurality of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behaviour influenced by said social influencers; a solver module configured to solve said game theory model to determine a set of equilibrium seller strategies; an impact analysis module configured to analyse said set of equilibrium seller strategies to identify the impact of said social influencers on market competition; and an output module configured to output said impact analysis to a user.

7. The system of claim 6, wherein said social influencer identification module is configured to identify social influencers based on their level of influence in said particular market.

8. The system of claim 6, wherein said data input module is configured to receive historical transaction data, seller performance data, and consumer behaviour data.

9. The system of claim 6, wherein said game theory model is a non-cooperative game model.

Analyzing the Impact of Social Influencers on Market Competition Using Game Theory
Abstract
This invention describes a system for analyzing the impact of social influencers on market competition using game theory. The system includes a social influencer identification module that identifies a set of social influencers in a particular market. A game theory module generates a game theory model based on the set of social influencers, comprising a plurality of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behavior influenced by the social influencers. A solver module solves the game theory model to determine a set of equilibrium seller strategies. An impact analysis module analyzes the set of equilibrium seller strategies to identify the impact of the social influencers on market competition. An output module then outputs the impact analysis to the user. By using game theory to model the behavior of sellers and consumers, the system can identify the most effective strategies for businesses to compete in the market. The system takes into account the impact of social influencers on consumer behavior, allowing businesses to make more informed decisions when developing marketing strategies. , Claims:Claims
I/We Claim:
1. A method for analysing the impact of social influencers on market competition using game theory, comprising: identifying a set of social influencers in a particular market; generating a game theory model based on said set of social influencers, said game theory model comprising a plurality of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behaviour influenced by said social influencers; solving said game theory model to determine a set of equilibrium seller strategies; analysing said set of equilibrium seller strategies to identify the impact of said social influencers on market competition; and outputting said impact analysis to a user.

2. The method of claim 1, wherein said set of social influencers are identified based on their level of influence in said particular market.

3. The method of claim 1, wherein said data comprises historical transaction data, seller performance data, and consumer behaviour data.

4. The method of claim 1, wherein said game theory model is a non-cooperative game model.

5. The method of claim 1, wherein said equilibrium seller strategies comprise Nash equilibrium strategies.

6. A system for analysing the impact of social influencers on market competition using game theory, comprising: a social influencer identification module configured to identify a set of social influencers in a particular market; a game theory module configured to generate a game theory model based on said set of social influencers, said game theory model comprising a plurality of seller strategies and a set of outcomes associated with each combination of seller strategies and consumer behaviour influenced by said social influencers; a solver module configured to solve said game theory model to determine a set of equilibrium seller strategies; an impact analysis module configured to analyse said set of equilibrium seller strategies to identify the impact of said social influencers on market competition; and an output module configured to output said impact analysis to a user.

7. The system of claim 6, wherein said social influencer identification module is configured to identify social influencers based on their level of influence in said particular market.

8. The system of claim 6, wherein said data input module is configured to receive historical transaction data, seller performance data, and consumer behaviour data.

9. The system of claim 6, wherein said game theory model is a non-cooperative game model.