Who are influential in Q&A communities? A measure of V-Constraint based on knowledge diffusion capability

2018 ◽  
Vol 45 (4) ◽  
pp. 488-501
Author(s):  
Jun Wang ◽  
Yang Luo ◽  
Jin-Xing Hao ◽  
Liting Ding ◽  
Ruilin Zhang
Keyword(s):  
Social Networks ◽  
Field Study ◽  
Online Communities ◽  
Knowledge Diffusion ◽  
Active Participation ◽  
Structural Holes ◽  
Structural Hole

Recent years have witnessed a surge of research on the identification of key users in online communities. However, seldom research has focused on their knowledge diffusion capabilities. The purpose of this study is to propose a new measure to find key users who perform well in knowledge diffusion in order to promote users’ active participation in Q&A communities. In particular, this article develops an improved measure consolidating both users’ structural hole and knowledge diffusion capability and evaluates its performance through a field study involving 230,000 users and more than 132 million network relations of users. Our results show that our proposed measure can be used to detect key users who occupy structural holes’ advantages in social networks. In addition, key users detected by our proposed measure generally perform well on nearly all dimensions of knowledge diffusion capability compared with other measures of key users. Our study entails important theoretical and practical contributions.

scholarly journals Detecting the Structural Hole for Social Communities Based on Conductance–Degree

2020 ◽  
Vol 10 (13) ◽  
pp. 4525
Author(s):  
Zhifang Liao ◽  
Lite Gu ◽  
Xiaoping Fan ◽  
Yan Zhang ◽  
Chuanqi Tang
Keyword(s):  
Social Networks ◽  
Detection Algorithm ◽  
Viral Marketing ◽  
Label Propagation ◽  
Diffusion Control ◽  
Sources Of Information ◽  
Multiple Sources ◽  
Structural Holes ◽  
Structural Hole ◽  
Hole Detection

It has been shown that identifying the structural holes in social networks may help people analyze complex networks, which is crucial in community detection, diffusion control, viral marketing, and academic activities. Structural holes bridge different communities and gain access to multiple sources of information flow. In this paper, we devised a structural hole detection algorithm, known as the Conductance–Degree structural hole detection algorithm (CD-SHA), which computes the conductance and degree score of a vertex to identify the structural hole spanners in social networks. Next, we proposed an improved label propagation algorithm based on conductance (C-LPA) to filter the jamming nodes, which have a high conductance and degree score but are not structural holes. Finally, we evaluated the performance of the algorithm on different real-world networks, and we calculated several metrics for both structural holes and communities. The experimental results show that the algorithm can detect the structural holes and communities accurately and efficiently.

Reasoning about Sentiment and Knowledge Diffusion in Social Networks

2017 ◽  
Vol 21 (6) ◽  
pp. 8-17 ◽  
Author(s):  
Fabio R. Gallo ◽  
Gerardo I. Simari ◽  
Maria Vanina Martinez ◽  
Marcelo A. Falappa ◽  
Natalia Abad Santos
Keyword(s):  
Social Networks ◽  
Knowledge Diffusion

Social Identities, Group Formation, and the Analysis of Online Communities

2010 ◽  
pp. 1346-1361 ◽  
Author(s):  
Jillianne R. Code ◽  
Nicholas E. Zaparyniuk
Keyword(s):  
Social Networks ◽  
Social Identity ◽  
Online Communities ◽  
Collective Identity ◽  
Online Social Networks ◽  
Online Social Network ◽  
Group Formation ◽  
Social Identities ◽  
New Members ◽  
The Individual

Central to research in social psychology is the means in which communities form, attract new members, and develop over time. Research has found that the relative anonymity of Internet communication encourages self-expression and facilitates the formation of relationships based on shared values and beliefs. Self-expression in online social networks enables identity experimentation and development. As identities are fluid, situationally contingent, and are the perpetual subject and object of negotiation within the individual, the presented and perceived identity of the individual may not match reality. In this chapter, the authors consider the psychological challenges unique to understanding the dynamics of social identity formation and strategic interaction in online social networks. The psychological development of social identities in online social network interaction is discussed, highlighting how collective identity and self-categorization associates social identity to online group formation. The overall aim of this chapter is to explore how social identity affects the formation and development of online communities, how to analyze the development of these communities, and the implications such social networks have within education.

Social Identities, Group Formation, and the Analysis of Online Communities

2010 ◽  
pp. 86-101 ◽  
Author(s):  
Jillianne R. Code ◽  
Nicholas E. Zaparyniuk
Keyword(s):  
Social Networks ◽  
Social Identity ◽  
Online Communities ◽  
Collective Identity ◽  
Online Social Networks ◽  
Online Social Network ◽  
Group Formation ◽  
Social Identities ◽  
New Members ◽  
The Individual

Central to research in social psychology is the means in which communities form, attract new members, and develop over time. Research has found that the relative anonymity of Internet communication encourages self-expression and facilitates the formation of relationships based on shared values and beliefs. Self-expression in online social networks enables identity experimentation and development. As identities are fluid, situationally contingent, and are the perpetual subject and object of negotiation within the individual, the presented and perceived identity of the individual may not match reality. In this chapter, the authors consider the psychological challenges unique to understanding the dynamics of social identity formation and strategic interaction in online social networks. The psychological development of social identities in online social network interaction is discussed, highlighting how collective identity and self-categorization associates social identity to online group formation. The overall aim of this chapter is to explore how social identity affects the formation and development of online communities, how to analyze the development of these communities, and the implications such social networks have within education.

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