2003/04/18 by Jean-Pierre Eckmann, Jean‐Pierre Eckmann, Eckmann, Jean-Pierre +4
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Opinion Dynamics and Social Influence #Peer-to-Peer Network Technologies #Statistical Mechanics (cond-mat.stat-mech) #cond-mat.dis-nn #cond-mat.stat-mech
paper · pdf · doi:10.48550/arxiv.cond-mat/0304433
arxiv created 2003/04/18 · openalex publication_date 2003/04/18 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Connectivity and topology are known to yield information about networks, whose origin is self-organized, but the impact of \it temporal dynamics in a network is still mostly unexplored. Using an information theoretic approach to e-mail exchange, we show that an e-mail network allows for a separation of static and dynamic structures within it. The static structures are related to organizational units such as departments. The temporally linked structures turn out to be more goal-oriented, functional units such as committees and user groups.