Evolution Analysis of Topics on Social Media Based on the Co-word Network

DOI

10.2991/seiem-16.2016.130How to use a DOI?

Keywords

Co-word Network, Community, Social Media, Topic Identification, Topic Evolution

Abstract

For the information in the social media, methods of topic feature selection in different time have been put forward to build the dynamic co-word network. The community discovery algorithm is applied to divide the co-word network on the basis of communities. And the co-word network community stands for the subtopics of the topics in the social media. On the basis of the comparability identification of subtopics in different time, the evolution process of subtopics is divided into three stages as the subtopic production, the subtopic diffusion and the subtopic fading. The empirical analysis shows that representing subtopics by using the co-word network community has such advantages as the intelligibility and the noise reduction; the development path and variation trend of subtopics can be clearly clarified on the basis of the co-word network community.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhuoqun Chen
AU  - Xu Sun
PY  - 2016/12
DA  - 2016/12
TI  - Evolution Analysis of Topics on Social Media Based on the Co-word Network
BT  - Proceedings of the 2016 International Seminar on Education Innovation and Economic Management (SEIEM 2016)
PB  - Atlantis Press
SP  - 507
EP  - 510
SN  - 2352-5398
UR  - https://doi.org/10.2991/seiem-16.2016.130
DO  - 10.2991/seiem-16.2016.130
ID  - Chen2016/12
ER  -