Fast and Accurate Mining the Community Structure: Integrating Center Locating and Membership Optimization

Li, Hui-Jia; Bu, Zhan; Li, Aihua; Liu, Zhidong; Shi, Yong

doi:10.1109/tkde.2016.2563425

Cited by 154 publications

(39 citation statements)

References 68 publications

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“…In a social dilemma game, there are different behavioral options, for cooperation and competition (Hertel and Fiedler, 1994;Huang et al, 2018aHuang et al, , 2018bLi et al, 2018aLi et al, , 2018b. There are several studies, which provide the main theoretical insights of the general psychological game framework (Geanakoplos et al, 1989;Attanasi and Rosemarie Nagel, 2008;Li et al, 2016). The classical theory of game relies on assumptions of perfect rationality and full common knowledge that are far removed from the cognitive capacities of human players and of limited use in explaining human strategic behavior.…”

Section: Behavior Of Individuals In Human Societiesmentioning

confidence: 99%

The behavioral model and game theory

2019

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The rational choice theory is based on this idea that people rationally pursue goals for increasing their personal interests. Here, we present a new concept of rational choice as a hyper-rational choice in which the actor thinks about profit or loss of other actors in addition to his personal profit or loss and then will choose an action that is desirable to him. We implement the hyper-rational choice to generalize and expand the game theory. Results of this study will help to model the behavior of people considering environmental conditions, the type of behavioral interaction, valuation system of itself and others, and system of beliefs and internal values of societies. Hyper-rationality helps us understand how human decisionmakers behave in interactive decisions.

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Section: Behavior Of Individuals In Human Societiesmentioning

confidence: 99%

The behavioral model and game theory

2019

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“…At present, mathematical models have been put forward to study the role of human behavior in the context of social population, such as escape panic [19] , pedestrian trails [20] , but effort s to quantitatively explore the role of human behavior in the large-scale epidemics generally focus on assessing the effectiveness of various public health measures including the social distancing, school closure etc. In the recent years, there are many fields and methods to help us to study infectious disease [21][22][23][24][25][26][27][28][29][30][31][32] , however, there is an increasing attention about the effect of spontaneous individual action or response strategy on the progression of an infectious disease, in which this kind of spontaneous actions may highly restrain from the further diffusion of epidemics and even change the fate of outbreaks. Thus, it is of great significance to fully understand the interacting mechanisms between the human behavior and disease dynamics within the specified population.…”

Section: Introductionmentioning

confidence: 99%

Role of vaccine efficacy in the vaccination behavior under myopic update rule on complex networks

Huang

Wang

Xia

2020

Chaos, Solitons & Fractals

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a b s t r a c tHow to effectively prevent the diffusion of infectious disease has become an intriguing topic in the field of public hygienics. To be noted that, for the non-periodic infectious diseases, many people hope to obtain the vaccine of epidemics in time to be inoculated, rather than at the end of the epidemic. However, the vaccine may fail as a result of invalid storage, transportation and usage, and then vaccinated individuals may become re-susceptible and be infected again during the outbreak. To this end, we build a new framework that considers the imperfect vaccination during the one cycle of infectious disease within the spatially structured and heterogeneous population. Meanwhile, we propose a new vaccination update rule: myopic update rule, which is only based on one focal player's own perception regarding the disease outbreak, and one susceptible individual makes a decision to adopt the vaccine just by comparing the perceived payoffs vaccination with the perceived ones of being infected. Extensive Monte-Carlo simulations are performed to demonstrate the imperfect vaccination behavior under the myopic update rule in the spatially structured and heterogeneous population. The results indicate that healthy individuals are often willing to inoculate the vaccine under the myopic update rule, which can stop the infectious disease from being spread, in particular, it is found that the vaccine efficacy influences the fraction of vaccinated individuals much more than the relative cost of vaccination on the regular lattice, Meanwhile, vaccine efficacy is more sensitive on the heterogeneous scale-free network. Current results are helpful to further analyze and model the choice of vaccination strategy during the disease outbreaks.

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“…This is the case of evolutionary game models widely used to study cooperation [13][14][15][16][17][18][19] : the incorporation of population structure in the form of networks have led to new insights and significant progresses in our understanding of how cooperative behavior emerges and evolves in human, animal, and even machine populations. Other examples worth mentioning are given by the remarkable increase in our ability to describe disease spreading [20][21][22] , in detecting community structure [23][24][25] and even in depicting the information diffusion in social networks 26 , to mention a couple of relevant examples. On the other hand, cascading patterns in complex systems are ubiquitous and usually lead to function loss in these systems.…”

Section: Introductionmentioning

confidence: 99%

Crash dynamics of interdependent networks

Xia

Xiao

et al. 2019

Sci Rep

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The emergence and evolution of real-world systems have been extensively studied in the last few years. However, equally important phenomena are related to the dynamics of systems’ collapse, which has been less explored, especially when they can be cast into interdependent systems. In this paper, we develop a dynamical model that allows scrutinizing the collapse of systems composed of two interdependent networks. Specifically, we explore the dynamics of the system’s collapse under two scenarios: in the first one, the condition for failure should be satisfied for the focal node as well as for its corresponding node in the other network; while in the second one, it is enough that failure of one of the nodes occurs in either of the two networks. We report extensive numerical simulations of the dynamics performed in different setups of interdependent networks, and analyze how the system behavior depends on the previous scenarios as well as on the topology of the interdependent system. Our results can provide valuable insights into the crashing dynamics and evolutionary properties of interdependent complex systems.

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Fast and Accurate Mining the Community Structure: Integrating Center Locating and Membership Optimization

Cited by 154 publications

References 68 publications

The behavioral model and game theory

The behavioral model and game theory

Role of vaccine efficacy in the vaccination behavior under myopic update rule on complex networks

Crash dynamics of interdependent networks

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