Research on Clustering Method for Government Micro-blogging User Segments Based on User Interaction Behavior

DOI

10.2991/icmia-17.2017.61How to use a DOI?

Keywords

Government micro-blogging, Interaction behavior, User segments clustering

Abstract

One purpose of government micro-blogging is to provide services for the public. Therefore, it is of great significance to study the users' characteristics and clustering user group for providing personalization services and micro-blogging's operation and management. In this paper, a measuring interaction strength method of user and micro-blogging is presented by mean of user behavior features such as retweet, comment and so on in the same government micro-blogging, and a fuzzy clustering method for user segments is put forwarded based on user interaction behavior strength. An example demonstrates effectiveness and feasibility of the method.

Copyright

© 2017, 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  - Suozhu Wang
AU  - Jun Wang
PY  - 2017/06
DA  - 2017/06
TI  - Research on Clustering Method for Government Micro-blogging User Segments Based on User Interaction Behavior
BT  - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 330
EP  - 335
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.61
DO  - 10.2991/icmia-17.2017.61
ID  - Wang2017/06
ER  -