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Published on: May 9, 2019
Entropy of dialogues creates coherent structures in e-mail traffic
Jean-Pierre Eckmann1, Elisha Moses, Danilo Sergi
1Département de Physique Théorique, Université de Genève, 1211 Geneva 4, Switzerland.
Email networks exhibit self-organized structures, revealing temporal correlations and synchronized user behavior. These dynamic, goal-oriented groups adapt in real-time, unlike static organizational units.
Area of Science:
- Network Science
- Information Theory
- Nonlinear Dynamics
Background:
- Dynamic networks, like email traffic, often exhibit complex emergent behaviors.
- Understanding network structures is crucial for analyzing communication patterns and organizational dynamics.
Purpose of the Study:
- To investigate the emergence of self-organized coherent structures in email traffic networks.
- To apply an information theoretic approach to analyze dynamic network synchronization.
Main Methods:
- Analysis of synchronization among trios of users in an email network.
- Utilizing a general information theoretic framework for dynamic network analysis.
- Identifying temporal correlations and coherent structures.
Main Results:
- Email networks demonstrate self-organized coherent structures, analogous to those in nonlinear dynamic systems.
- Coherent structures emerge from temporal correlations driven by synchronized user activity.
- These dynamic structures are functional and goal-oriented, adapting to changing objectives.
- Static structures within the network correlate with established organizational units like departments.
Conclusions:
- Dynamic email networks form adaptive, synchronized structures that facilitate real-time responses.
- The study highlights the interplay between user synchronization, temporal correlations, and network organization.
- Distinguishes between dynamic, adaptive structures and static, organizational units in communication networks.
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