A neurodynamic framework for local community extraction in networks

Autor:	Zhang, Shihua, Hu, Guanghua, Min, Wenwen
Rok vydání:	2015
Předmět:	Computer Science - Social and Information Networks Physics - Physics and Society
Druh dokumentu:	Working Paper
Popis:	To understand the structure and organization of a large-scale social, biological or technological network, it can be helpful to describe and extract local communities or modules of the network. In this article, we develop a neurodynamic framework to describe the local communities which correspond to the stable states of a neuro-system built based on the network. The quantitative criteria to describe the neurodynamic system can cover a large range of objective functions. The resolution limit of these functions enable us to propose a generic criterion to explore multi-resolution local communities. We explain the advantages of this framework and illustrate them by testing on a number of model and real-world networks. Comment: 4 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1511.09368 Zobrazit plný text záznamu View this record from Arxiv