scholarly journals Research Methods on Recognizing Potential Opinion Leaders of Hot Event Based on Social Network

Author(s):  
D.C. Qu ◽  
H.X. Lian ◽  
H. Xie ◽  
S.L. Guo
2021 ◽  
Vol 114 ◽  
pp. 290-293
Author(s):  
David Camacho ◽  
Ma Victoria Luzón ◽  
Erik Cambria

The traditional research approaches common in different disciplines of social sciences centered around one half of the social realm: the actors. The other half are the relations established by these actors and forming the basis of “social.” The social structure shaped by these relations, the position of the actor within this structure, and the impact of this position on the actor are mostly excluded by the traditional research methods. In this chapter, the authors introduce social network analysis and how it complements the other methods.


2019 ◽  
Vol 5 (2) ◽  
pp. 205630511984874 ◽  
Author(s):  
Raquel Recuero ◽  
Gabriela Zago ◽  
Felipe Soares

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.


2020 ◽  
Vol 203 ◽  
pp. 106158
Author(s):  
Lokesh Jain ◽  
Rahul Katarya ◽  
Shelly Sachdeva

2011 ◽  
Vol 3 (1) ◽  
pp. 16-25 ◽  
Author(s):  
Raghuram Iyengar ◽  
Christophe Van den Bulte ◽  
John Eichert ◽  
Bruce West

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


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