Social capital: the power of influencers in networks
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Summary
This work proposes a framework to compute this network social value using the concept of social capital, namely the amount of bonding and bridging connections in the network, and establishes the fairness of the allocation using several axioms of fairness.
- Type
- article
- Published
- 2013-05-06
- Cited by
- 13
- References
- 9
- OpenAlex
- https://openalex.org/W138294966
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15351740
Keywords
Influencer marketing, Social network (sociolinguistics), Social capital, Computer science, Value (mathematics)
References
- Social Capital and Participation in Everyday Life
- Graphs and Cooperation in Games
- Scalable influence maximization for prevalent viral marketing in large-scale social networks
- Brokerage and Closure: An Introduction to Social Capital
- Topologies of strategically formed social networks based on a generic value function - Allocation rule model
- Maximizing the spread of influence through a social network
- Link formation in cooperative situations
- A Strategic Model of Social and Economic Networks
- A faster algorithm for betweenness centrality
Cited by
- Demonstrating the value of credibility modeling for trust-based approaches to online message recommendation
- Scalable Analysis of Information Flows in Networks
- Querying and Tracking Influencers in Social Streams
- A Social-based Strategy for Memory Management in Sensor Networks
- Mining Influencers Using Information Flows in Social Streams
- Recommending messages to users in participatory media environments: a Bayesian credibility approach
- New Models and Methods for Formation and Analysis of Social Networks
- "Adulthood is trying each of the same six passwords that you use for everything": The Scarcity and Ambiguity of Security Advice on Social Media
- Does Follower Size Matter? Diversity of Sources and Credibility Assessment Among Social Media Influencers
- Influence Propagation: Patterns, Model and a Case Study
- Scalable Information Flow Mining in Networks
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