2017
DOI: 10.1103/physreve.95.012307
|View full text |Cite
|
Sign up to set email alerts
|

Pair approximation for theq-voter model with independence on complex networks

Abstract: We investigate the q-voter model with stochastic noise arising from independence on complex networks. Using the pair approximation, we provide a comprehensive, mathematical description of its behavior and derive a formula for the critical point. The analytical results are validated by carrying out Monte Carlo experiments. The pair approximation prediction exhibits substantial agreement with simulations, especially for networks with weak clustering and large average degree. Nonetheless, for the average degree c… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

11
146
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
8

Relationship

3
5

Authors

Journals

citations
Cited by 81 publications
(157 citation statements)
references
References 33 publications
11
146
0
Order By: Relevance
“…Additionally, they allow for analytical treatment based on the mean-field approach, and are therefore often incorporated into analyses [3,5,8]. More complex structures are also investigated as underlying frameworks for the q-voter dynamics [10,42], but for simplicity, we consider only a fully connected graph. Interactions in the system are driven by three factors interpreted as different social responses: conformity, independence, and anticonformity [43].…”
Section: Model Descriptionmentioning
confidence: 99%
See 1 more Smart Citation
“…Additionally, they allow for analytical treatment based on the mean-field approach, and are therefore often incorporated into analyses [3,5,8]. More complex structures are also investigated as underlying frameworks for the q-voter dynamics [10,42], but for simplicity, we consider only a fully connected graph. Interactions in the system are driven by three factors interpreted as different social responses: conformity, independence, and anticonformity [43].…”
Section: Model Descriptionmentioning
confidence: 99%
“…As a prime example of an opinion formation model, the q-voter dynamics has gained a great deal of attention in recent studies [5][6][7][8][9][10][11]. As a spreading mechanism, it finds many applications not only 1.…”
Section: Introductionmentioning
confidence: 99%
“…Second, the nonlinearity parameterq measures the effect of local group interactions. Nonlinearity is mathematically implemented as a k q i i ( ) [36,[38][39][40][41]. When q=1, our model becomes the ordinary coevolving linear voter model [34].…”
Section: Modelmentioning
confidence: 99%
“…Specifically, a coevolving nonlinear voter model (CNVM) has been studied in order to incorporate collective interactions and coevolution dynamics at the same time [36]. The nonlinearity in the CNVM takes into account that the state of an agent is affected by the state of all of their neighbors as a whole, and not by a pairwise interaction [38][39][40][41]. The nonlinear interaction gives rise to diverse phases, with different mechanisms for fragmentation transitions.…”
Section: Introductionmentioning
confidence: 99%
“…The model we investigate here is not a social model, but it could be treated as such Nyczka and Sznajd-Weron [11]. In fact, the qneighbor Ising model Jȩdrzejewski et al [3], reformulated later in terms of the kinetic Ising model on random regular graph, has been inspired by the q-voter model of opinion dynamics [12][13][14][15]. This is not entirely clear what it the scale of opinion changes and definitely exploring how opinion dynamics will be influenced by the dynamics of a network is an interesting task.…”
Section: Introductionmentioning
confidence: 99%