A Novel Method of Identifying Influential Users on Social Network

DOI

10.2991/itms-15.2015.173How to use a DOI?

Keywords

Social network; Influential nodes; Structural holes

Abstract

Identifying the influential users on social network is a critical problem for advertising, promotion, public opinion analysis and network security. A few empirical studies have verified that some users could lead to wider spreading and promote the information diffusion prominently. However, the existing studies limited by a single layer analysis for information diffusion, there is still lack of a multifaceted analysis method for identifying influential nodes. In this paper, we propose a novel method for identifying the influential users in the topology of information diffusion, which contains a three-tier analytical mechanism: information-level analysis, relationship-level analysis and community-level analysis. This three-tier analytical mechanism can upgrade information-level to relationship-level, and finally identifying the influential nodes in relationship-level. The experiments on Sina Weibo demonstrate that 0.3% of users who span structural holes control 28% of the information diffusion in each event and can cause the secondary-wave of information diffusion. When the information diffuses to users with higher pagerank, more users will participate in the information diffusion.

Copyright

© 2015, 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  - Jingchi Jiang
AU  - Wenchong Bi
AU  - Chengqi Yi
AU  - Yuanyuan Bao
AU  - Yibo Xue
PY  - 2015/11
DA  - 2015/11
TI  - A Novel Method of Identifying Influential Users on Social Network
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 733
EP  - 736
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.173
DO  - 10.2991/itms-15.2015.173
ID  - Jiang2015/11
ER  -