What do we learn from correlations of local and global network properties?

Details What do we learn from correlations of local and global network properties? What do we learn from correlations of local and global network properties?

2006-07-17

arxiv.org/abs/physics/0607150v1

Physics

Physics and Society

Scientific paper

10.1016/j.physa.2007.03.029

In complex networks a common task is to identify the most important or "central" nodes. There are several definitions, often called centrality measures, which often lead to different results. Here we study extensively correlations between four local and global measures namely the degree, the shortest-path-betweenness, the random-walk betweenness and the subgraph centrality on different random-network models like Erdos-Renyi, Small-World and Barabasi-Albert as well as on different real networks like metabolic pathways, social collaborations and computer networks. Correlations are quite different between the real networks and the model networks questioning whether the models really reflect all important properties of the real world.

Affiliated with

Also associated with

No associations

Rating

What do we learn from correlations of local and global network properties? does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with What do we learn from correlations of local and global network properties?, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and What do we learn from correlations of local and global network properties? will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-506636