Identifying Roles in an IP Network with Temporal and Structural Density


Tiphaine Viard and Matthieu Latapy

NetSciCom 2014


Captures of IP traffic contain much information
on very different kinds of activities like file transfers, users
interacting with remote systems, automatic backups, or distributed computations. Identifying such activities is crucial for an
appropriate analysis, modeling and monitoring of the traffic. We
propose here a notion of density that captures both temporal and
structural features of interactions, and generalizes the classical
notion of clustering coefficient. We use it to point out important
differences between distinct parts of the traffic, and to identify
interesting nodes and groups of nodes in terms of roles in the

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