Abstract
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 meaningful patterns in networks.
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Notes
Individuals or organizations corresponding to the nodes in the social graph.
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Acknowledgments
This work has been partly supported by the Italian Ministry of Education, Universities and Research FIRB Grant RBFR107725, and by the Spanish Government under contract TIN2013-47245-C2-1-R.
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Vega, D., Magnani, M., Montesi, D. et al. A new approach to role and position detection in networks. Soc. Netw. Anal. Min. 6, 39 (2016). https://doi.org/10.1007/s13278-016-0346-9
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DOI: https://doi.org/10.1007/s13278-016-0346-9