From local averaging to emergent global behaviors: the fundamental role of network interconnections
Giacomo Como, Fabio Fagnani

TL;DR
This paper explores how the structure of network interconnections influences the emergence of global behaviors in distributed averaging systems, highlighting fundamental principles and their applications.
Contribution
It synthesizes key results and examples to emphasize the critical role of network topology in shaping collective dynamics.
Findings
Network structure determines global behavior patterns.
Distributed averaging models exhibit diverse emergent phenomena.
Fundamental principles link network topology to collective outcomes.
Abstract
Distributed averaging is one of the simplest and most studied network dynamics. Its applications range from cooperative inference in sensor networks, to robot formation, to opinion dynamics. A number of fundamental results and examples scattered through the literature are gathered here and originally presented, emphasizing the deep interplay between the network interconnection structure and the emergent global behavior.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
