Mining components of micro-blogging user Influence and their correlations

DOI

10.2991/iccsee.2013.369How to use a DOI?

Keywords

micro-blogging, user influence, Spearman’s rank correlation coefficient

Abstract

Measuring micro-blogging user influence is very important both in economic and social fields. In this paper, we detailedly discuss the components of user influence. Considering the time affect, TAC(time-effectiveness attenuation coefficient) is proposed when generating user influence which consists of post influence and follow influence. We also discuss the correlation between the two kinds of influences by use of Spearman’s rank correlation coefficient. After a series of experiments, we believe that our method is more accurate and comprehensive when measuring the influences of micro-blogging users.

Copyright

© 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/).

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TY  - CONF
AU  - Dong Liu
AU  - Quanyuan Wu
AU  - Weihong Han
PY  - 2013/03
DA  - 2013/03
TI  - Mining components of micro-blogging user Influence and their correlations
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1465
EP  - 1468
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.369
DO  - 10.2991/iccsee.2013.369
ID  - Liu2013/03
ER  -