NDLI: A network analysis of an online expertise sharing community

Content Provider	Springer Nature Link
Author	Hua, Guangying Haughton, Dominique
Copyright Year	2012
Abstract	Even though social networking sites are very popular all around the globe, social networks for professionals have not received much attention from the scientific community. We study how physicians interact with each other from the perspective of network analysis. In our study, we treat each physician as a node, and the link between them represents their interaction through posting and comments. We study the topological features of the network of physicians. Structural statistics, such as power-law degree distribution, reciprocity, assortativity, and bow-tie structure are discussed. Moreover, physicians’ demographic information is included in our analysis to uncover features of the network. We discover the community structure of the network on the basis of physicians’ specialties. Inter- and intra-specialty communications are examined. Our study contributes to the literature a study on a medium-scale professional social network. The systematic analysis presents a full picture of the network with more detailed and in-depth understanding.
Starting Page	291
Ending Page	303
Page Count	13
File Format	PDF
ISSN	18695450
Journal	Social Network Analysis and Mining
Volume Number	2
Issue Number	4
e-ISSN	18695469
Language	English
Publisher	Springer Vienna
Publisher Date	2012-01-31
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Online social network Expertise community Social network analysis Physician specialty analysis Methodology of the Social Sciences Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Complex Networks Game Theory, Economics, Social and Behav. Sciences Data Mining and Knowledge Discovery
Content Type	Text
Resource Type	Article
Subject	Information Systems Human-Computer Interaction Communication Computer Science Applications Media Technology

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