Evolutionary Dynamics of Complex Networks: Theory, Methods and Applications
Alireza Abbasi, Liaquat Hossain, Rolf T Wigand

TL;DR
This paper explores the evolutionary dynamics of complex networks through analysis of academic and disaster collaboration networks, revealing small-world properties and potential for broader application.
Contribution
It introduces a new approach to understanding network evolution by analyzing real-world collaboration networks and their small-world characteristics.
Findings
Academic collaboration networks exhibit small-world properties.
Structural analysis can be extended to other real-world networks.
Academic networks are confirmed as true small-world networks.
Abstract
We propose new direction to understanding evolutionary dynamics of complex networks using two different types of collaboration networks: academic collaboration networks; and, disaster collaboration networks. The results show that academic collaboration network has all properties of small-world networks and can be considered a real small-world network with the result of its structural analysis maybe being extendable for other real-networks who share the common grounds of small-world properties.
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.
Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Evolutionary Game Theory and Cooperation
