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The Analysis of Niche Experts' “Stability-Change” Feature Under Different Semantic Environments: An Empirical Analysis Based on MetaFilter Dataset
Received date: 2016-11-01
Revised date: 2016-12-29
Online published: 2017-01-20
[Purpose/significance] Social media not only provides a platform for knowledge exchange for users, but also forms a channel for knowledge reuse. Some social network users can affect others in information communication and knowledge sharing. These users are called "niche experts". The study of "niche experts" helps to promote information dissemination. [Method/process] In this paper, the authors made use of user activity data from a popular community weblog named MetaFilter to construct social network. Then the authors got the niche experts by network analysis and time series analysis and analyzed the "stability-change" feature of niche experts under different semantic circumstances. The paper also introduced an index to measure this feature and it was proved to be correct. [Result/conclusion] The result of the study shows that only few niche experts can maintain stability under multiple semantic circumstances and the majority of niche experts can maintain stability only under single semantic circumstance.
Li Gang , Zhang Yan , Ye Guanghui . The Analysis of Niche Experts' “Stability-Change” Feature Under Different Semantic Environments: An Empirical Analysis Based on MetaFilter Dataset[J]. Library and Information Service, 2017 , 61(2) : 99 -106 . DOI: 10.13266/j.issn.0252-3116.2017.02.013
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