Checking the degree Distribution of a network after clustering
0
0
Entering edit mode
6.7 years ago
The Last Word ▴ 230

Hi,

I had a real world gene network (with scale free distribution) that I clustered into eight parts. I further checked the degree distribution of these eight clusters to check if it conformed to a power law distribution. I have an advisory committee and one of my committee members ended up asking me if that was necessary and that clustering algorithms do you take away the real world properties of a network. I couldn't answer him with much confidence and I have been stumped since then.

I checked for papers where clustering has been done but I could not see any that check for real world properties of the clusters after clustering. I am thinking that I will change my reasoning to also say that I wanted to study the rate of decay between the slopes of each cluster to form a comparison but I cannot find a study where decay constant between clusters have been compared as well. Kindly offer some guidance.

Cytoscape degree distribution • 910 views
ADD COMMENT
0
Entering edit mode

I had a real world gene network (with scale free distribution) that I clustered into eight parts.

Can you elaborate on what, exactly, you did? Did you create 8 different networks ('clusters') or just 1 large network in which you identified 8 sub-networks?

Have you been using Cytoscape the whole time?

There are various metrics at which you can look, including:

  • Hub score
  • Vertex degree
  • Betweeness centrality
  • Closeness centrality

By looking at these metrics, you can identify the key players in each network (or whatever your clusters are).

Kevin

ADD REPLY

Login before adding your answer.

Traffic: 2065 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6