A Community Influence Prediction Calculation Method based Link Similarity Community Influence Prediction Calculation Methodin Social Network
- DOI
- 10.2991/meic-14.2014.236How to use a DOI?
- Keywords
- Collusive attack detection; Reputation Aggregation; Relationship; Social Network; Collusion factor
- Abstract
In this paper, we propose a community influence prediction calculation method based link similarity in social networkfrom the perspective of community influence. First, we put forwardpresent thea model of community influence prediction, and then descirribe make formal description for its related models formally;. SSecondly, we give a set of factors, including label similarity between users, similarity between uses based common neighbors, and their calculation methods, which can evaluate the similarity between users and then estimate whether a new user would join the community or not in near future. calculate the factors which are related to community influence prediction, thus determine whether new user join the community or not in the future; FurthermoreThen, we address a method of updaterenewing the community structure and influence respectively. , make forecast for community influence in the future and give the calculation method of community influence prediction. Finally, experimental results verify the effectiveness and feasibility of our proposed method.
- Copyright
- © 2014, 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 - Qianqian Song AU - Tao Yang AU - Bo Zhang AU - Sihui Hu PY - 2014/11 DA - 2014/11 TI - A Community Influence Prediction Calculation Method based Link Similarity Community Influence Prediction Calculation Methodin Social Network BT - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 1060 EP - 1063 SN - 2352-5401 UR - https://doi.org/10.2991/meic-14.2014.236 DO - 10.2991/meic-14.2014.236 ID - Song2014/11 ER -