On multidimensional network measures
Magnani M., Monreale A., Rossetti G., Giannotti F.
Multidimensional networks Multi-layer networks Central- ity measures G.2.2 Graph Theory
Networks, i.e., sets of interconnected entities, are ubiquitous, spanning disciplines as diverse as sociology, biology and computer sci- ence. The recent availability of large amounts of network data has thus provided a unique opportunity to develop models and analysis tools ap- plicable to a wide range of scenarios. However, real-world phenomena are often more complex than existing graph data models. One relevant ex- ample concerns the numerous types of social relationships (or edges) that can be present between individuals in a social network. In this short pa- per we present a uni ed model and a set of measures recently developed to represent and analyze network data with multiple types of edges.
Source: SEDB 2013 - 21st Italian Symposium on Advanced Database Systems, pp. 215–222, Roccella Jonica, Reggio Calabria, Italy, 30 June - 3 July 2013
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@inproceedings{oai:it.cnr:prodotti:278111,
title = {On multidimensional network measures},
author = {Magnani M. and Monreale A. and Rossetti G. and Giannotti F.},
booktitle = {SEDB 2013 - 21st Italian Symposium on Advanced Database Systems, pp. 215–222, Roccella Jonica, Reggio Calabria, Italy, 30 June - 3 July 2013},
year = {2013}
}
0000-0003-3099-3835