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| Research on the Information Producer Distribution of a Network Q&A Community: An Empirical Analysis Based on the Music Portion of MetaFilter Data |
| Yang Jinqing1, Ye Guanghui2 |
1.School of Information Management, Wuhan University, Wuhan 430072
2.School of Information Management, Central China Normal University, Wuhan 430079 |
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Abstract To explore information producer distribution under the UGC (user-generated content) mode, in this study, the network Q&A community was taken as the research object. First, the comment, post, user, and timestamp data items of the music portion of the MetaFilter Q&A community was obtained as experimental data. Next, we verified the applicability of Lotka’s law to the distribution of comment frequency and number of users in the network Q&A community from the aspects of information productivity and social correlation strength, and explored the new characteristics of the user distribution law of the user??s social network. Finally, based on the power-law correlation of the user distribution phenomenon from the perspective of information productivity and social relevance strength, we explored the relationship between the social relevance strength of the user and information productivity. The experimental results show that Lotka??s law is still applicable to the UGC mode; the social network of users in the network Q&A community is a scale-free network. Users with strong social relevance may not produce large amounts of information, but there is a positive correlation between social relevance strength and information production, which can provide a reference for the formulation of management strategies for the network Q&A community.
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Received: 28 October 2019
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