Mining Users for Organizations on Mi-cro-blogs
Zhenhua Zhang, Ruifang Liu, WeiRan Xu
Available Online March 2013.
- 10.2991/icibet.2013.9How to use a DOI?
This paper focuses on detecting relevant real-world users of organizations in mi-cro-blogs. Many organizations and indi-viduals choose to publish posts on micro-blogs. As the virtual social network may possibly be influenced by accounts’ real world social ties, it’s feasible to detect the user groups that have strong connections to organizations. In this paper, we pro-pose a community-detection based meth-od to discover the real world members of organizations on micro-blogs. In order to find the most relevant user groups, we also define ranking score for each user. Experiments show that, the top ranked users of each community is crucial for distinguishing the most relevant groups.
- © 2013, 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/).
Cite this article
TY - CONF AU - Zhenhua Zhang AU - Ruifang Liu AU - WeiRan Xu PY - 2013/03 DA - 2013/03 TI - Mining Users for Organizations on Mi-cro-blogs BT - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013) PB - Atlantis Press SP - 41 EP - 44 SN - 1951-6851 UR - https://doi.org/10.2991/icibet.2013.9 DO - 10.2991/icibet.2013.9 ID - Zhang2013/03 ER -