On interactive chains with finite populations
Bibliographic Data
| ID | 10142372 |
|---|---|
| Authors | Yigal Gerchak (0000-0002-4262-4482, University of Waterloo, corresponding author) |
| Year | 1983 |
| Volume | 9 |
| Issue | 3 |
| Pages | 255-258 |
| Publication date | 1983-11-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Mathematical Sociology (JOURNAL) |
| Journal identifiers | ISSN: 0022-250X • E-ISSN: 1545-5874 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/0022250x.1983.9989946 |
| OpenAlex | W2089700481 |
| Language | EN |
| Citations received | 3 |
| References cited | 11 |
An Interactive Markov Chain is a population process in which each individuals's transitions depend on the population's distribution over the various states. We investigate a certain aspect of such process’ dynamics for a fixed population size. Conditions for convergence to steady‐state regardless of population size are provided
Chain (unit · Convergence (economics · Distribution (mathematics · Economics · Markov chain · Markov process · Mathematical analysis · Physics · Population · Population model · Population size · Process (computing · Statistical physics · Statistics · Steady state (chemistry · Chemistry · Complex Network Analysis Techniques · Computer Science · Demography · Game Theory and Applications · Mathematics · Opinion Dynamics and Social Influence
| Unique citing works | 3 |
|---|---|
| Citations per year | 0.07 |
| Citation span | 1985 - 2000 (16) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |