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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (6): 70-78    DOI: 10.11925/infotech.2096-3467.2017.1311
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Analyzing Growth Trends and Attachment Mode of Social Blog Tags
Guanghui Ye1(),Jinglan Hu1,Jian Xu2,Lixin Xia1
1School of Information Management, Central China Normal University, Wuhan 430079, China
2Center for the Studies of Information Resources, Wuhan University, Wuhan 430072, China
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[Objective] This study reveals the forming mechanism of network nodes, aiming to examine the growth trend and attachment mode of social blog tags. [Methods] Firstly, we proposed the model of tag growth with the help of statistics and network analysis. Then, we established the categories of tag links and corresponding numbers, as well as summarized the connection rules of newly added tags. Finally, we defined the indicators of degree dependency and examined the probability of tag connection following preferential attachment modes. [Results] The tag growth showed the linear growth pattern and the distribution of tags had one single peak center, the shock left side and the gentle right side, which did not meet the power-law distribution. [Limitations] We did not explain the impacts of users’ tagging behaviors on the network connections. [Conclusions] Neither the “new tag-old tag” nor the “old tag-old tag” models are not fully compliant with the preferential attachment mode.

Key wordsSocial Blog Tag      Growth Trend      Attachment Mode      Social Network      Preferential Attachment      Degree Dependency     
Received: 22 December 2017      Published: 11 July 2018

Cite this article:

Guanghui Ye,Jinglan Hu,Jian Xu,Lixin Xia. Analyzing Growth Trends and Attachment Mode of Social Blog Tags. Data Analysis and Knowledge Discovery, 2018, 2(6): 70-78.

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