@incollection{eprints2106,
          author = {Frederic Amblard and Arnaud Casteigts and Paola Flocchini and Walter Quattrociocchi and Nicola Santoro},
           pages = {169--174},
       publisher = {IEEE},
            year = {2011},
       booktitle = {Proceedings of the International Conference on Computational Aspects of Social Networks (CASoN)},
           title = {On the temporal analysis of scientific network evolution},
             url = {http://eprints.imtlucca.it/2106/},
        abstract = {In this paper we approach the definition of new methodologies for the visualization and the exploration of social networks and their dynamics. We present a recently introduced formalism called TVG (for time-varying graphs), which was initially developed to model and analyze highly-dynamic and infrastructure-less communication networks, and TVG derived metrics. As an application context, we chose the case of scientific communities by analyzing a portion of the arXiv repository (ten years of publications in physics). We discuss the dataset by means of both static and temporal analysis of citations and co-authorships networks. Afterward, as we consider that scientific communities are at the same time communities of practice (through co-authorship) and that a citation represents a deliberative selection of a work among others, we introduce a new transformation to capture the co-existence of citations' effects and collaboration behaviors.},
        keywords = {Social Networks Evolution; Temporal Metrics; Time-Varying Graphs; Visualization}
}