2007/03/20 by Carmen Pellicer-Lostao, Pellicer-Lostao, Carmen, D. Morató +3
Computer Science · Physics and Astronomy · #Adaptation and Self-Organizing Systems (nlin.AO) #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Multiagent Systems (cs.MA) #Network Traffic and Congestion Control #Networking and Internet Architecture (cs.NI) #Peer-to-Peer Network Technologies #Statistical Mechanics (cond-mat.stat-mech)
paper · pdf · doi:10.48550/arxiv.nlin/0703036
openalex publication_date 2007/03/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A new statistical based model approach to characterize a user's behavior in an Internet access link is presented. The real patterns of Internet traffic in a heterogeneous Campus Network are studied. We find three clearly different patterns of individual user's behavior, study their common features and group particular users behaving alike in three clusters. This allows us to build a probabilistic mixture model, that can explain the expected global behavior for the three different types of users. We discuss the implications of this emergent phenomenology in the field of multi-agent complex systems.