dorsal/arxiv
View SchemaEmergent Opinion Dynamics on Endogenous Networks
| Authors | László Gulyás, Elenna R. Dugundji |
|---|---|
| Categories | |
| ArXiv ID | physics/0610125 |
| URL | https://arxiv.org/abs/physics/0610125 |
Abstract
In recent years networks have gained unprecedented attention in studying a broad range of topics, among them in complex systems research. In particular, multi-agent systems have seen an increased recognition of the importance of the interaction topology. It is now widely recognized that emergent phenomena can be highly sensitive to the structure of the interaction network connecting the system's components, and there is a growing body of abstract network classes, whose contributions to emergent dynamics are well-understood. However, much less understanding have yet been gained about the effects of network dynamics, especially in cases when the emergent phenomena feeds back to and changes the underlying network topology. Our work starts with the application of the network approach to discrete choice analysis, a standard method in econometric estimation, where the classic approach is grounded in individual choice and lacks social network influences. In this paper, we extend our earlier results by considering the endogenous dynamics of social networks. In particular, we study a model where the behavior adopted by the agents feeds back to the underlying network structure, and report results obtained by computational multi-agent based simulations
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"abstract": "In recent years networks have gained unprecedented attention in studying a\nbroad range of topics, among them in complex systems research. In particular,\nmulti-agent systems have seen an increased recognition of the importance of the\ninteraction topology. It is now widely recognized that emergent phenomena can\nbe highly sensitive to the structure of the interaction network connecting the\nsystem\u0027s components, and there is a growing body of abstract network classes,\nwhose contributions to emergent dynamics are well-understood. However, much\nless understanding have yet been gained about the effects of network dynamics,\nespecially in cases when the emergent phenomena feeds back to and changes the\nunderlying network topology.\n Our work starts with the application of the network approach to discrete\nchoice analysis, a standard method in econometric estimation, where the classic\napproach is grounded in individual choice and lacks social network influences.\nIn this paper, we extend our earlier results by considering the endogenous\ndynamics of social networks. In particular, we study a model where the behavior\nadopted by the agents feeds back to the underlying network structure, and\nreport results obtained by computational multi-agent based simulations",
"arxiv_id": "physics/0610125",
"authors": [
"L\u00e1szl\u00f3 Guly\u00e1s",
"Elenna R. Dugundji"
],
"categories": [
"physics.soc-ph"
],
"title": "Emergent Opinion Dynamics on Endogenous Networks",
"url": "https://arxiv.org/abs/physics/0610125"
},
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