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Gomes, O. (2015). Sentiment cycles in discrete-time homogeneous networks. Physica A. 428, 224-238
Export Reference (IEEE) 
O. M. Gomes,  "Sentiment cycles in discrete-time homogeneous networks", in Physica A, vol. 428, pp. 224-238, 2015
Export BibTeX 
@article{gomes2015_1715935448800,
	author = "Gomes, O.",
	title = "Sentiment cycles in discrete-time homogeneous networks",
	journal = "Physica A",
	year = "2015",
	volume = "428",
	number = "",
	doi = "10.1016/j.physa.2015.01.084",
	pages = "224-238",
	url = "http://www.sciencedirect.com/science/article/pii/S0378437115001314"
}
Export RIS 
TY  - JOUR
TI  - Sentiment cycles in discrete-time homogeneous networks
T2  - Physica A
VL  - 428
AU  - Gomes, O.
PY  - 2015
SP  - 224-238
SN  - 0378-4371
DO  - 10.1016/j.physa.2015.01.084
UR  - http://www.sciencedirect.com/science/article/pii/S0378437115001314
AB  - Consider a network connecting individual agents that are endowed with distinct sentiments or ‘views of the world’. Specifically, assume that each node in the network contains an agent that, at a given period t, can be found in one of five states: sentiment neutrality, exuberant optimism, non-exuberant optimism, exuberant pessimism and non-exuberant pessimism. Local interaction rules, similar to those one encounters in rumor propagation models, make agents change their sentiment as they contact with others. Under a continuous-time framework, the proposed setting delivers a stable fixed-point equilibrium, meaning that the shares of agents in each sentiment category will converge to constant steady-state levels. The inspection of the same structure of analysis in discrete-time indicates that the stability outcome continues to hold when the connectivity degree is equal to 1. However, this result might change as one considers higher-order connectivity. In this last case, persistent endogenous waves of optimism and pessimism emerge under a reasonable parameterization of the model.
ER  -