Message passing approach for social contagions based on the trust probability with multiple influence factors

Hui, Leng; Zhao, Yi; Wang, Dong

doi:10.1016/j.physa.2021.126510

Cited by 9 publications

(5 citation statements)

References 17 publications

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“…As the physical foundation for the experiments, we adopt both the famous Scale-Free(SF) network model [29] and Erds-Rnyi (ER) network model [30]. The number of information that the individual got in layer A(B) is tallied using the variables m A and m B .…”

Section: Model Descriptionsmentioning

confidence: 99%

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Novel propagation phenomena: behaviors of local trend imitation on multiple limited contact networks

2023

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The local trend imitation(LTI) feature behavior has been deeply studied on speciﬁc complex networks, but still needs to be explored in more scenarios. In fact, the multiple networks with individual limited contact feature is more in line with the real scenario On the multiple limited networks,a novel model is proposed to investigate the eﬀects of individual contact capacity heterogeneity. Then,information propagation mechanism is then measured and examined using a developed partition theory. The experimental results show crossover occurrences of phase transition. In the new network model, the ﬁnal spreading scope exhibits a second-order continuous growth when individuals display a positive LTI behavior. Individuals have a passive LTI behavior, however, the ﬁnal spreading scope exhibits a ﬁrst-order discontinuous growth. Besides, a greatest ultimate spreading size appears at an ideal LTI parameter with the unit spreading probability changing. Additionally, individual contact capacity heterogeneity changes the rate of information spreading and the global adoption pattern. Eventually the outcomes of the theoretic analysis match those of the simulations.

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Section: Model Descriptionsmentioning

confidence: 99%

“…The quantity of individuals on multiply layer SF network [30] and ER network [29] are set as 10 4 and the average degree of individuals is set as…”

Section: Parameter Settingsmentioning

confidence: 99%

Novel propagation phenomena: behaviors of local trend imitation on multiple limited contact networks

2023

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“…The retention of accumulated information in an individual memory can be significantly influenced by social reinforcement when the information is received from their neighbors. This phenomenon exhibits non-Markov characteristics [4][5][6]. Furthermore, behavioral information accumulated in memory effects does not become redundant during information transfer [5].…”

Section: Introductionmentioning

confidence: 99%

“…This phenomenon exhibits non-Markov characteristics [4][5][6]. Furthermore, behavioral information accumulated in memory effects does not become redundant during information transfer [5]. People are more receptive to non-overlapping information from their neighbors [7], which may result from several factors, such as recall effects [8,9], diverse propagation threshold [10][11][12], heterogenous behavioral distribution [13,14], and idiosyncratic recruitment threshold [15,16].…”

Section: Introductionmentioning

confidence: 99%

SAR dynamical mechanism affected by diminishing marginal effect based on personal fashion psychology on multi-layer contacted network

Ren,

2024

Phys. Scr.

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People in complex systems exhibit varying capacities for social interaction because of differences in personal psychology, educational attainment, and social class. It is true that people often use different social networks and show different enthusiasm for obtaining information, but their interest in collecting information will decrease over time. Our study on Personal Fashion Psychology (PFP) has shown that when people get information, they behave in a way known as the Diminishing Marginal Effect (DME-PFP behavior). Next, we created a SAR propagation dynamics model on a multi-layer contact network to represent DME-PFP behavior using a threshold function. Then, to assess and uncover the transmission mechanism of individual behaviour, we use partition theory. A boundary phenomena is displayed by the propagation mode, as demonstrated by both theoretical analysis and simulated tests. The final size can exhibit either discontinuous first-order phase transitions or continuous second-order phase changes in individual DME-PFP behaviour. Meanwhile, through the unit transmission probability changed, the ideal DME-PFP parameters occur at the largest final adoption size. Moreover, the promotion of the propagation pattern and behaviour from continuous second-order to discontinuous first-order is facilitated by interpersonal contact. The numerical analysis and the actual models may eventually agree.

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“…After extensive research on the mechanism of information propagation, it has been discovered that certain factors, including behavior adoption threshold [ 13 ], degree heterogeneity [ 14 ], node distribution structure [ 15 ], etc., will affect information propagation. This finding has been supported by both theoretical and experimental evidence.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Influence of Behavioral Adoption Threshold Diversity on Multi-Layer Network

Deng

Peng

Tian

et al. 2023

Entropy

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The same people exhibit various adoption behaviors for the same information on various networks. Previous studies, however, did not examine the variety of adoption behaviors on multi-layer networks or take into consideration this phenomenon. Therefore, we refer to this phenomenon, which lacks systematic analysis and investigation, as behavioral adoption diversity on multi-layered networks. Meanwhile, individual adoption behaviors have LTI (local trend imitation) characteristics that help spread information. In order to study the diverse LTI behaviors on information propagation, a two-layer network model is presented. Following that, we provide two adoption threshold functions to describe diverse LTI behaviors. The crossover phenomena in the phase transition is shown to exist through theoretical derivation and experimental simulation. Specifically, the final spreading scale displays a second-order continuous phase transition when individuals exhibit active LTI behaviors, and, when individuals behave negatively, a first-order discontinuous phase transition can be noticed in the final spreading scale. Additionally, the propagation phenomena might be impacted by the degree distribution heterogeneity. Finally, there is a good agreement between the outcomes of our theoretical analysis and simulation.

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Message passing approach for social contagions based on the trust probability with multiple influence factors

Cited by 9 publications

References 17 publications

Novel propagation phenomena: behaviors of local trend imitation on multiple limited contact networks

Novel propagation phenomena: behaviors of local trend imitation on multiple limited contact networks

SAR dynamical mechanism affected by diminishing marginal effect based on personal fashion psychology on multi-layer contacted network

Analysis of Influence of Behavioral Adoption Threshold Diversity on Multi-Layer Network

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