The analysis of the structure of micro-blog users relation networks

DOI

10.2991/iccnce.2013.91How to use a DOI?

Keywords

Micro-blog Networks, Power-law Distribution, Small-word, Node Centrality

Abstract

In this paper, the individual micro-blog is taken for example to research the structure characteristics of the micro-blog networks.Thedata of individual micro-blog is tracked, and complex networkisbuilt. Some static properties of one network are given - the degree distribution, clustering coefficient, betweenness, and average path length, it isfound to have short average path length and highaverage clustering coefficient. The distributions of out-degree, in-degree post present power-law characters. By analyzing the node centrality of micro-blog networks and describingthree network centrality indicators, including node degree, betweenness and k-Core,this paper discusses importance of networks’ nodes and the impact on the propagation of information. The research shows that k-Core can be accurate representations of the core of the network location, which helps us to identify influential nodes in theinformation dissemination network. From the types of nodes, it is clear understanding of users’ interests and behaviors.

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  - Kai Yang
AU  - Ning Zhang
PY  - 2013/07
DA  - 2013/07
TI  - The analysis of the structure of micro-blog users relation networks
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 363
EP  - 366
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.91
DO  - 10.2991/iccnce.2013.91
ID  - Yang2013/07
ER  -