The Emergent Quantitative Properties of Social Network Members Capable of Acting both as Gatekeepers and Opinion Leaders

2014 ◽  
Author(s):  
Afifa El Bayed ◽  
Christopher Gahler ◽  
Lukas Fricke ◽  
Timothy Goedeking
Keyword(s):  
Social Network ◽  
Opinion Leaders ◽  
Quantitative Properties

scholarly journals Using Social Network Analysis and Social Capital to Identify User Roles on Polarized Political Conversations on Twitter

2019 ◽  
Vol 5 (2) ◽  
pp. 205630511984874 ◽  
Author(s):  
Raquel Recuero ◽  
Gabriela Zago ◽  
Felipe Soares
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Opinion Leaders ◽  
Information Flows ◽  
Network Metrics ◽  
Network Analysis Metrics

In this article, we discuss the roles users play in political conversations on Twitter. Our case study is based on data collected in three dates during the former Brazilian president Lula’s corruption trial. We used a combination of social network analysis metrics and social capital to identify the users’ roles during polarized discussions that took place in each of the dates analyzed. Our research identified four roles, each associated with different aspects of social capital and social network metrics: activists, news clippers, opinion leaders, and information influencers. These roles are particularly useful to understand how users’ actions on political conversations may influence the structure of information flows.

Recognition of opinion leaders coalitions in online social network using game theory

2020 ◽  
Vol 203 ◽  
pp. 106158
Author(s):  
Lokesh Jain ◽  
Rahul Katarya ◽  
Shelly Sachdeva
Keyword(s):  
Game Theory ◽  
Social Network ◽  
Online Social Network ◽  
Opinion Leaders

How Social Network and Opinion Leaders Affect the Adoption of New Products

2011 ◽  
Vol 3 (1) ◽  
pp. 16-25 ◽  
Author(s):  
Raghuram Iyengar ◽  
Christophe Van den Bulte ◽  
John Eichert ◽  
Bruce West
Keyword(s):  
Social Network ◽  
Peer Influence ◽  
Social Dynamics ◽  
Word Of Mouth ◽  
Individual Characteristics ◽  
Opinion Leaders ◽  
Central Position ◽  
Self Confidence ◽  
Marketing Effectiveness ◽  
The Social

Abstract Do word-of-mouth and other peer influence processes really affect how quickly people adopt a new product? Can one identify the most influential customers and hence those who are good seeding points for a word-of-mouth marketing campaign? Can one also identify those customers most likely to be influenced by their peers? A pharmaceutical company seeking to improve its marketing effectiveness by leveraging social dynamics among physicians set out to answer these questions. There is indeed evidence of social influence, even after controlling for sales calls and individual characteristics. Also, people who are central in the network and those who use the product intensively are more influential. Finally, people who view themselves as opinion leaders are less affected by peer influence, whereas people who others really turn to for information or advice are not differentially affected. This last finding suggests that self-reported opinion leadership captures self-confidence, whereas a central position in the social network captures true leadership. Since sociometric techniques identify true opinion leaders more effectively than self-reports do, word-of-mouth programs targeting sociometric leaders are expected to be more effective than programs targeting self-reported leaders

scholarly journals The Finding and Dynamic Detection of Opinion Leaders in Social Network

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Baocheng Huang ◽  
Guang Yu ◽  
Hamid Reza Karimi
Keyword(s):  
Social Network ◽  
Real World ◽  
Structural Characteristics ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Opinion Leaders ◽  
Data Sources ◽  
The Real ◽  
Data Source ◽  
Different Characteristics

It is valuable for the real world to find the opinion leaders. Because different data sources usually have different characteristics, there does not exist a standard algorithm to find and detect the opinion leaders in different data sources. Every data source has its own structural characteristics, and also has its own detection algorithm to find the opinion leaders. Experimental results show the opinion leaders and theirs characteristics can be found among the comments from the Weibo social network of China, which is like Facebook or Twitter in USA.

Modeling Dyadic Interactions and Networks in Marketing

1992 ◽  
Vol 29 (1) ◽  
pp. 5-17 ◽  
Author(s):  
Dawn Iacobucci ◽  
Nigel Hopkins
Keyword(s):  
Social Network ◽  
Conflict Resolution ◽  
Coalition Formation ◽  
Word Of Mouth ◽  
Network Models ◽  
Opinion Leaders ◽  
Dyadic Interaction ◽  
Service Encounters ◽  
Dyadic Interactions

Many substantive areas in marketing share a basic concern with relationships. Social network and dyadic interaction methods are techniques that can enrich a researcher's understanding of the structure of relationships, whether a few actors or many are involved and whether the relationships are at the consumer or business level. Network models are discussed in a variety of substantive areas, including coalition formation in buying centers, identification of opinion leaders in word-of-mouth networks, power and cooperation in channel dyads, conflict resolution in family purchasing, and the management of expectations in service encounters. In addition, important modeling advances are described, including techniques that enable researchers to make comparisons between networks and adaptations of reciprocity parameters to allow for identification of stochastic cliques.

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