Identifying roles in an IP network with temporal and structural density

Tiphaine Viard (1) , Matthieu Latapy (1)

1 ComplexNetworks

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, that 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 network.

Domaines: Autre [cs.OH]

Tiphaine Viard, Matthieu Latapy. Identifying roles in an IP network with temporal and structural density. Sixth IEEE International Workshop on Network Science for Communication Networks (NetSciCom 2014), Apr 2014, Toronto, Canada. pp.801-806, ⟨10.1109/INFCOMW.2014.6849333⟩. ⟨hal-01009382v2⟩