A New Scale Free Evolving Network Model with Community Structure
- Jun CAI, WaiXi LIU
- Corresponding Author
- Jun CAI
Available Online March 2013.
- https://doi.org/10.2991/iccsee.2013.559How to use a DOI?
- Scale-free networks, community structure, network model, complex network.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.559 DO - https://doi.org/10.2991/iccsee.2013.559 ID - CAI2013/03 ER -