The Community Structure of Econophysicist Collaboration Networks
arXiv:physics/0505064
Abstract
This paper uses a database of collaboration recording between Econophysics Scientists to study the community structure of this collaboration network, which with a single type of vertex and a type of undirected, weighted edge. Hierarchical clustering and the algorithm of Girvan and Newman are presented to analyze the data. And it emphasizes the influence of the weight to results of communities by comparing the different results obtained in different weights. A function D is proposed to distinguish the difference between above results. At last the paper also gives explanation to the results and discussion about community structure.
11 pages, 6 figures
References in corpus (10)
- The structure and function of complex networks
- Community structure in social and biological networks
- Finding and evaluating community structure in networks
- The structure of scientific collaboration networks
- Analysis of weighted networks
- Defining and identifying communities in networks
- Self-similar community structure in organisations
- Detecting fuzzy community structures in complex networks with a Potts model
- Finding Communities in Linear Time: A Physics Approach
- Distance, dissimilarity index, and network community structure