Evolution Analysis of Topics on Social Media Based on the Co-word Network
Zhuoqun Chen, Xu Sun
Available Online December 2016.
- https://doi.org/10.2991/seiem-16.2016.130How to use a DOI?
- Co-word Network, Community, Social Media, Topic Identification, Topic Evolution
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/seiem-16.2016.130 ID - Chen2016/12 ER -