Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1129582 | Social Networks | 2007 | 6 Pages |
Abstract
This note presents a measure of similarity between connected nodes in terms of centrality based on Euclidean distances, and compares it to ‘assortative mixing’ [Newman, M.E.J., 2002. Assortative mixing in networks. Physical Review Letters 89, 208701], which is based on Pearson correlation coefficient. This study suggests that the measure based on Euclidean distances may be more appropriate for relatively smaller (N < 500) and denser networks.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Soong Moon Kang,