Detection of spreader nodes and ranking of interacting edges in Human-SARS-CoV protein interaction network

Sovan Saha; Piyali Chatterjee; Subhadip Basu; Mita Nasipuri

The copyright holder for this preprint (which was not peer-reviewed) is the . first position having highest spreadability index by our proposed methodology. This node has been correctly ranked by all the methods except LAC and DC. Node 24 though has moderate edge ratio and node weight, but is one of the most densely connected modules itself in spite of getting isolated from the main network module of node 1. Moreover, node 24 has the highest neighborhood density. It establishes the fact that the only path of transmission of nodes 26, 27, 25, 28, 29, 30, 31, 32 and 33 is node 24. Thus if node 24 gets affected, then all the connected nodes with it will be getting immediately affected due to the lack of the connectivity of the neighbors with other central nodes. So, node 24 holds the second position with respect to spreadability index in our proposed methodology. Node 24 is not properly identified as the second most influential spreader nodes by the other methods. Further assessment of the remaining nodes highlights the fact that the performance of the new attribute spreadability index in our proposed methodology is relatively better in comparison to the others.