Multidimensional Network Analysis:
              Models, Analytics, Applications

                                  Michele Berlingerio

                            IBM Research and Development,
                                   Dublin, Ireland



    Abstract. Multidimensional networks (also known as multilayer, multiplex, or
    multislice) are receiving increased attention from computer scientists, physicists,
    mathematicians, and other scientists, thanks also to many application scenarios
    and increased availability of data for analytics. Social sciences are interested in
    the multidimensional aspects of the connections between individuals, not only
    by looking at different types of connections (i.e., different relationships that may
    co-exist at the same time), but also taking into account different dimensions like
    space, time, and text, all at the same time. Economists are also looking at mod-
    elling and analysing hidden or explicit relationships between companies, prod-
    ucts, CEOs, and all the other entities within the financial environment. Due to the
    higher complexity of the relationships that this type of networks is able to capture,
    and the higher expressiveness of the models to represent them, Multidimensional
    Network Analysis is both a technically challenging field, and a powerful means to
    extract knowledge from real world phenomena. During this talk, we will review
    the basic aspects of Multidimensional Network Analysis, like history, models,
    structural analysis, some focused (open) problems like community detection or
    link prediction, and some application scenarios like public safety and financial
    analytics.




Copyright c 2015 by the paper’s authors. Copying permitted only for private and academic
purposes. In: M. Atzmueller, F. Lemmerich (Eds.): Proceedings of 6th International Workshop
on Mining Ubiquitous and Social Environments (MUSE), co-located with the ECML PKDD
2015. Published at http://ceur-ws.org