Where E is some exogeneous input and W is a weight matrix derived from the adjancancy matrix A. [HUBBELL, C. H. 1965]
This centrality value is defined by means of a weighted and loop allowed network. The weighted adjacency matrix W of a network G is asymmetric and contains real-valued weights for each edge.
- HUBBELL, C. H. 1965. An input-output approach to clique identification. Sociometry, 377-399.
- JUNKER, B. H., KOSCHÜTZKI, D. & SCHREIBER, F. 2006. Exploration of biological network centralities with CentiBiN. BMC bioinformatics, 7, 219.
- ZHANG, A. 2009. Protein Interaction Networks: Computational Analysis, Cambridge University Press.
HI, thank you for sharing all these good stuffs.
When I calculate Hubbell index for a 176*176 weighted and directed nework, I have a following error message'
"Error in ev > 1 : invalid comparison with complex values". Could you tell me what this means?
Thnak you in advance
|Add Replay||written September 21, 2019, 5:56 am by Joon Jun|