PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Magnani M., Monreale A., Rossetti G., Giannotti F. On multidimensional network measures. In: SEBD 2013 - 21st Italian Symposium on Advanced Database Systems (Roccella Jonica, Reggio Calabria, Italy, 30 June - 3 July 2013). Atti, pp. 215 - 222. UniversitÓ di Reggio Calabria, 2013.
 
 
Abstract
(English)
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.
Subject Multidimensional networks
Multi-layer networks
Central- ity measures
G.2.2 Graph Theory


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