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Co-citation and cluster analyses of extant literature on social networks

TLDR
This study collected studies on social-network-related topics that were published between January 1996 and December 2014, assembling a total of 2565 articles and 81,316 citations to elucidate the core topics relevant to social networks.
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This article is published in International Journal of Information Management.The article was published on 2017-10-01 and is currently open access. It has received 170 citations till now. The article focuses on the topics: Social network & Social network analysis.

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Citations
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Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions

TL;DR: In this paper, the authors investigate how the para-social interaction (PSI) the audience creates with the online influencer, along with their perceived credibility, are related to the purchase intention and how they are, in turn, related to social and physical attractiveness and attitude homophily.
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Investigating the impact of social media advertising features on customer purchase intention

TL;DR: This study aims to identify and test the main factors related to social media advertising that could predict purchase intention and provide a number of theoretical and practical guidelines on how marketers can effectively plan and implement their ads over social media platforms.
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Connecting circular economy and industry 4.0

TL;DR: Artificial Intelligence, Service and Policy Framework, and Circular Economy are significant enablers connecting CE and Industry 4.0 in a supply chain and Interface Designing and Automated Synergy Model are the most significant challenges.
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Measuring social media influencer index- insights from facebook, Twitter and Instagram

TL;DR: A mechanism for measuring the influencer index across popular social media platforms including Facebook, Twitter, and Instagram is proposed and findings indicate that engagement, outreach, sentiment, and growth play a key role in determining the influencers.
References
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Journal ArticleDOI

Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology.

TL;DR: Powell et al. as mentioned in this paper developed a network approach to organizational learning and derive firm-level, longitudinal hypotheses that link research and development alliances, experience with managing interfirm relationships, network position, rates of growth, and portfolios of collaborative activities.
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A Set of Measures of Centrality Based on Betweenness

TL;DR: A family of new measures of point and graph centrality based on early intuitions of Bavelas (1948) is introduced in this paper, which define centrality in terms of the degree to which a point falls on the shortest path between others and there fore has a potential for control of communication.
Journal ArticleDOI

The Strength of Weak Ties: A Network Theory Revisited

TL;DR: In this article, the authors proposed a method to solve the problem of the "missing link" problem in the context of Haifa University, Israel, and their Ph.D. dissertation.
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Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis

TL;DR: The fundamental hypothesis is that dissimilarities and distances are monotonically related, and a quantitative, intuitively satisfying measure of goodness of fit is defined to this hypothesis.
Journal ArticleDOI

Finding community structure in very large networks.

TL;DR: A hierarchical agglomeration algorithm for detecting community structure which is faster than many competing algorithms: its running time on a network with n vertices and m edges is O (md log n) where d is the depth of the dendrogram describing the community structure.
Related Papers (5)
Frequently Asked Questions (15)
Q1. What have the authors contributed in "Co-citation and cluster analyses of extant literature on social networks" ?

Over one billion people are currently using social media such as social websites ( Facebook Newsroom 2015 ) ; consequently, numerous academic scholars have developed interest in studying the use of social media and social networks. In this study, the authors collected studies on social-network-related topics that were published between January 1996 and December 2014, assembling a total of 2,565 articles and 81,316 citations. Finally, the results of this study were further discussed to elucidate the core topics relevant to social networks. 

Future studies may collect more articles related to social networks from other databases to perform a trend analysis and explore the evolution of social network research. Future studies may consider different weights for articles published during different periods of time. New articles may have a possibility of being considered highly cited ( value ) articles. In future studies, scholars could extent the period of analysis and incorporate the aforementioned problems associated with processing journal data to investigate future changes and trends in the knowledge structure of social networks, thus further perfecting the core knowledge of social networks. 

SPSS statistical software was used to conduct relevant statistical analyses and to elaborate the core knowledge of research on social networks. 

They found that models of dynamical systems with small-world coupling display enhanced signal-propagation speed, computational power, and synchronizability. 

Current social network research mainly explores topics such as network user status, community relationships, and network centrality. 

fields such as medical innovation have also appeared in the field of social networks, indicating the richness, diversity, and importance of social network research to various academic fields. 

Because the number of social network users has steadily increased along with rapid technological development, the topic of social network evaluation has become an essential research orientation for current and future studies. 

Social network sites analyses utilize the use of the digital networks and related network-based information for understanding relationships among people, teams, departments, organizations, or markets (Ngai et al. 2015; Haynes et al. 2016). 

This study clustered the cocitation matrix, in which data were standardized to az-score, of the frequently cited documents into various groups, obtaining a total of seven clusters. 

Their results showed that the five core factors are trust, technology acceptance and technology application, e-commerce task-related application, e-markets, and identity and evaluation. 

Venkatesh et al. (2003) conducted four research processes: (a) reviewing user acceptance literature and discussing eight prominent models; (b) empirically comparing the eight models and their extensions; (c) formulating a unified model that integrated elements across the eight models; and (d) empirically validating the unified model. 

Granovetter also asserted that the extent of overlap in two people’s friendship networks is directly correlated with the strength of the relational tie between them. 

Ellison et al. (2007) studied the relationship between Facebook use and the formation and maintenance of social capital by assessing three types of social capital: bridging, bonding, and maintained social capital. 

Barney (1991) investigated the relationship between firm resources and sustained competitive advantages and verified four potential resources for creating such advantages: value, rareness, imitability, and substitutability. 

This analysis is a type of bibliometric method that allows quantifying the cocitation relationship between documents (Small 1973).