TY  - CHAP
ID  - eprints2106
T2  - Proceedings of the International Conference on Computational Aspects of Social Networks (CASoN)
EP  - 174
AV  - none
TI  - On the temporal analysis of scientific network evolution
Y1  - 2011///
KW  - Social Networks Evolution; Temporal Metrics; Time-Varying Graphs; Visualization
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6085938&isnumber=6085907
A1  - Amblard, Frederic
A1  - Casteigts, Arnaud
A1  - Flocchini, Paola
A1  - Quattrociocchi, Walter
A1  - Santoro, Nicola
SN  - 978-1-4577-1132-9 
PB  - IEEE
N2  - 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.
SP  - 169
ER  -