Research on User Discovery Based on Loyalty in SNS

DOI

10.2991/sshr-17.2018.70How to use a DOI?

Keywords

Social networking services, user discovery, loyalty

Abstract

With the rise of social networks, the diverse and informative social networking applications have become an indispensable part of the daily life of netizens. Improving user loyalty is one of the important ways for software vendors to seize and maintain market share. In this paper, we propose a user discovery method based on loyalty in social network. Firstly, we calculate the consumer's consumption value and participation value dynamically according to the double RFM model, find the standard curve, then use the similarity calculation to find out the typical loyal users and disloyal users, and then identify the potential users using the modularity-based community discovery and independent cascade propagation model. The method has obtained ideal results of user discovery when it was applied to some microblog datasets of a social network, which has certain practical significance.

Copyright

© 2018, 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  - Yun Xue
AU  - Jianbin Chen
AU  - Yingying Zhou
PY  - 2017/12
DA  - 2017/12
TI  - Research on User Discovery Based on Loyalty in SNS
BT  - Proceedings of the 2017 International Seminar on Social Science and Humanities Research (SSHR 2017)
PB  - Atlantis Press
SP  - 399
EP  - 406
SN  - 2352-5398
UR  - https://doi.org/10.2991/sshr-17.2018.70
DO  - 10.2991/sshr-17.2018.70
ID  - Xue2017/12
ER  -