A New Scale Free Evolving Network Model with Community Structure

DOI

10.2991/iccsee.2013.559How to use a DOI?

Keywords

Scale-free networks, community structure, network model, complex network.

Abstract

Understanding and modeling the structure of a complex network can lead to a better knowledge of its evolutionary mechanisms, and to a better cottoning on its dynamic and functional behavior. The nodes within a network not only tend to connect the nodes with high degree (scale-free property), and tend to connect with their relatively close distance nodes (community structure property), and the high-degree nodes are easier to connect with their relatively far nodes comparing with the low-degree nodes in the process of network evolution. This phenomenon has been commonly observed from many real-world networks, ranging from social to biological even to technical networks. To model this kind of networks, the present letter proposes a scale free network model with community structure (SFC) to capture and describe their essential topological properties. Numerical simulations indicate that the generated network based on SFC model has scale-free and community structure property. Under the control of the parameters of the model, the community structure of network can be adjustable.

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  - Jun CAI
AU  - WaiXi LIU
PY  - 2013/03
DA  - 2013/03
TI  - A New Scale Free Evolving Network Model with Community Structure
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2229
EP  - 2232
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.559
DO  - 10.2991/iccsee.2013.559
ID  - CAI2013/03
ER  -