The Relations Between Classic and Geometric Probability and Scale-Free Feature In Social Networks

DOI

10.2991/cnct-16.2017.23How to use a DOI?

Keywords

Probability, Scale-free, Power-law, Models, Ddifferential equation.

Abstract

Probability and statistics have been proved to be strong and useful tools for recovering the topological properties in complex systems and networks all over the world. We recall the process of studying complex systems in the past decades and propose general evolution equation about the dynamical function of network. Relations between classic and geometric probability and scale-free feature have been discussed, and we build up a class new network models in which the classic and geometric probability are coexisting.

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  - Fei MA
AU  - Jing SU
AU  - Bing YAO
PY  - 2016/12
DA  - 2016/12
TI  - The Relations Between Classic and Geometric Probability and Scale-Free Feature In Social Networks
BT  - Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)
PB  - Atlantis Press
SP  - 171
EP  - 178
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnct-16.2017.23
DO  - 10.2991/cnct-16.2017.23
ID  - MA2016/12
ER  -