@conference {505, title = {On multidimensional network measures}, booktitle = {SEDB 2013}, year = {2013}, month = {2013}, abstract = {Networks, i.e., sets of interconnected entities, are ubiquitous, spanning disciplines as diverse as sociology, biology and computer science. The recent availability of large amounts of network data has thus provided a unique opportunity to develop models and analysis tools applicable to a wide range of scenarios. However, real-world phenomena are often more complex than existing graph data models. One relevant example concerns the numerous types of social relationships (or edges) that can be present between individuals in a social network. In this short paper we present a unified model and a set of measures recently developed to represent and analyze network data with multiple types of edges.}, url = {https://www.researchgate.net/publication/256194479_On_multidimensional_network_measures}, author = {Matteo Magnani and Anna Monreale and Giulio Rossetti and Fosca Giannotti} }