***** To join INSNA, visit http://www.insna.org ***** Dear SOCNET Members I am using ORA Software (see McCulloh, Armstrong and Johnson's book "Social Network Analysis With Applications", or http://www.casos.cs.cmu.edu/projects/ora/index.php). I input a 6-node, star network. I ask for eigenvector centrality scores for all vertices. Given the general description of what eigenvector centrality does, I expect the peripheral vertices to have high scores, and the central vertex to have a lower score. The results are as follows: Central vertex: -1.0 All other vertices: -0.4472136 My questions: Why are the results negative? Why does the central vertex have a higher absolute value (should the absolute values even be considered)? Are the results at all interpretable in terms of eigenvector centrality; and, if so, how? I am grateful for any assistance in resolving this conundrum. Ion Georgiou _______________________ Dr. Phokion ‘Ion’ Georgiou Full Professor / Professor Titular – Fundação Getulio Vargas (AACSB-EQUIS-AMBA accredited) https://sites.google.com/site/iongeorgiou/ _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.