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A new approach to role and position detection in networks

Author
Vega, D.; Magnani, M.; Montesi, D.; Meseguer, R.; Freitag, F.
Type of activity
Journal article
Journal
Social Network Analysis and Mining
Date of publication
2016-06
Volume
6
Number
39
First page
1
Last page
23
DOI
https://doi.org/10.1007/s13278-016-0346-9 Open in new window
Project funding
Community networks and clouds
Repository
http://hdl.handle.net/2117/100586 Open in new window
URL
http://link.springer.com/article/10.1007%2Fs13278-016-0346-9 Open in new window
Abstract
The final publication is available at Springer via http://dx.doi.org/10.1007/s13278-016-0346-9. We rethink and extend the concepts of position and role in a network, basing them on various well-known measures that were not previously associated with these concepts, such as geodesic distance and modularity. The effectiveness of our new role and position detection algorithms is evaluated both qualitatively and quantitatively, on synthetic and real data, showing that we can identify new types of me...
Citation
Vega, D., Magnani, M., Montesi, D., Meseguer, R., Freitag, F. A new approach to role and position detection in networks. "Social Network Analysis and Mining", Juny 2016, vol. 6, núm. 39, p. 1-23.
Keywords
Approximation, Betweenness, Blockmodeling, Communities, Positions vs. roles, Shortest paths
Group of research
CNDS - Computer Networks and Distributed Systems

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