The three kinds of degree distributions and nash equilibrium on the limiting random network
From MaRDI portal
Publication:5133909
DOI10.1142/S0219493720500331zbMath1451.05217OpenAlexW2998643538WikidataQ126433131 ScholiaQ126433131MaRDI QIDQ5133909
Publication date: 11 November 2020
Published in: Stochastics and Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0219493720500331
Small world graphs, complex networks (graph-theoretic aspects) (05C82) Random graphs (graph-theoretic aspects) (05C80) Noncooperative games (91A10) Games involving graphs (91A43) Vertex degrees (05C07) Games on graphs (graph-theoretic aspects) (05C57)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Opinion dynamics and learning in social networks
- Popularity based random graph models leading to a scale-free degree sequence
- The evolution of social and economic networks.
- The diameter of a scale-free random graph
- Equilibrium existence and uniqueness in network games with additive preferences
- Network games under strategic complementarities
- How bad is forming your own opinion?
- A strategic model of social and economic networks
- The degree sequence of a scale-free random graph process
- Game-Theoretic Analysis of the Hegselmann-Krause Model for Opinion Dynamics in Finite Dimensions
- Statistical mechanics of complex networks
- Emergence of Scaling in Random Networks
- A random graph model for massive graphs
- On the Degree Sequence of an Evolving Random Graph Process and Its Critical Phenomenon
- Network Games
- The Structure and Function of Complex Networks
- Coupling Online and Offline Analyses for Random Power Law Graphs
- Random Deletion in a Scale-Free Random Graph Process
- A general model of web graphs
- Collective dynamics of ‘small-world’ networks
- Exploring complex networks
- Games on Large Networks: Information and Complexity
- Random Graphs
- An introduction to the theory of large deviations
This page was built for publication: The three kinds of degree distributions and nash equilibrium on the limiting random network
