Study on the Simulation of Hot Event’s Propagation Based on Ant Colony Algorithm in Social Networks

DOI

10.2991/cisia-15.2015.147How to use a DOI?

Keywords

social networks; networking hot event; simulation of propagation; ant colony algorithm

Abstract

Given that there is not much research on the propagation mechanism of hot event in the social networks environment at the macro level at present, this paper proposes an optimizing model of propagation to maximize the influence of hot event in networks in a short time. Combining the three characteristics of basic ant colony algorithm: distributive, self-organizing and positive feedback, a hot event’s propagation model based on improved ant colony algorithm is built. The optimization goal of this model is to maximize the number of users who concern about a networking event in a short time. Through experiment, the optimizing propagation of hot events is simulated, different periods of evolution are shown, and the effectiveness of the model is validated.

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  - D.C Qu
AU  - H. Xie
AU  - H.X Lian
AU  - J. Bai
AU  - S.L Guo
PY  - 2015/06
DA  - 2015/06
TI  - Study on the Simulation of Hot Event’s Propagation Based on Ant Colony Algorithm in Social Networks
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 539
EP  - 542
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.147
DO  - 10.2991/cisia-15.2015.147
ID  - Qu2015/06
ER  -