Physique statistique de phénomènes collectifs en sciences économiques et sociales
Bibliographic Data
| ID | 19166413 |
|---|---|
| Authors | Jean‐pierre Nadal (0000-0003-0022-0647, Centre National de la Recherche Scientifique, corresponding author), Mirta B Gordon (0000-0002-8186-7591, Translational Innovation in Medicine and Complexity) |
| Year | 2005 |
| Volume | 172 |
| Publication date | 2005-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Mathématiques et sciences humaines (JOURNAL) |
| Journal identifiers | ISSN: 0987-6936 • E-ISSN: 1950-6821 |
| Publisher | OpenEdition (PUBLISHER) |
| DOI | 10.4000/msh.2969 |
| OpenAlex | W169010321 |
| Language | FR |
| Citations received | 1 |
| References cited | 5 |
This article shows how statistical physics may contribute to the modelling of collective phenomena in economics and social science. The main topic here is the study of the global (aggregate) behavior of a large population, when the agents make choices under social influence. We present several examples, starting from pioneering works in economics and sociology, such as those of T. Schelling whose approach has all the flavour of physicists’ approaches
Economics · Epistemology · Management science · Population · Positive economics · Social science · Sociology · Complex Network Analysis Techniques · Complex Systems and Time Series Analysis · Opinion Dynamics and Social Influence
| Citations per year | 0.05 |
|---|---|
| Citation span | 2006 - 2006 (1) |
| Highly cited | No |