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Understanding information interactions in diffusion： an evolutionary game-theoretic perspective

Frontiers of Computer Science 2016年第3期10卷 518-531页

作者： Yuan SU Xi ZHANG Lixin LIU Shouyou SONG Binxing FANG Key Laboratory of Trustworthy Distributed Computing and Service Ministry of EducationSchool of Computer Science Beijing University of Posts and Telecommunications Beijing 100876 China

Social networks are fundamental media for dif- fusion of information and contagions appear at some node of the network and get propagated over the edges. Prior re- searches mainly focus on each contagion spreading indepen- dently, regardless of multiple contagions＇ interactions as they propagate at the same time. In the real world, simultaneous news and events usually have to compete for user＇s attention to get propagated. In some other cases, they can cooperate with each other and achieve more influences. In this paper, an evolutionary game theoretic framework is proposed to model the interactions among multiple con- tagions. The basic idea is that different contagions in social networks are similar to the multiple organisms in a popula- tion, and the diffusion process is as organisms interact and then evolve from one state to another. This framework statis- tically learns the payoffs as contagions interacting with each other and builds the payoff matrix. Since learning payoffs for all pairs of contagions IS almost impossible （quadratic in the number of contagions）, a contagion clustering method is proposed in order to decrease the number of parameters to fit, which makes our approach efficient and scalable. To ver- ify the proposed framework, we conduct experiments by us- ing real-world information spreading dataset of Digg. Exper- imental results show that the proposed game theoretic frame- work helps to comprehend the information diffusion process better and can predict users＇ forwarding behaviors with more accuracy than the previous studies. The analyses of evolution dynamics of contagions and evolutionarily stable strategy re- veal whether a contagion can be promoted or suppressed by others in the diffusion process.

关键词： social networks information diffusion gametheory evolutionary game evolution dynamics

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Relationships and Evolving Networks of Rural Manufacturing Clusters: A Case Study in Yucheng County, Henan Province of China

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Chinese Geographical Science 2011年第3期21卷 364-376页

作者： LI Erling LI Xiaojian LIU Zhigao Research Center of Yellow River Civilization and Sustainable Development Henan University Kaifeng 475001 China College of Environment and Planning Henan University Kaifeng 475001 China Institute of Geographic Sciences and Natural Resources Research and Key Laboratory of Regional Sustainable Development Modeling Chinese Academy of Sciences Beijing 100101 China

The evolution of networks in rural industrial clusters,in particular in the context of China has been paid more attention to in the *** the theory and techniques of social network analysis (SNA),this study is with particular regard to the business network relationships and their evolutionary dynamics of steel measuring tape manufacturing clustered in Nanzhuang Village,Yucheng County of Henan Province,China,which is important for better understanding the industrial and regional development in less developed rural *** data collected by comprehensive questionnaire survey in 2002 and mass interviews with 60 enterprises and assembling families and several government authorities in 2002,2003,2004,2005 and 2008,four types of networks are identified: spin-off,consulting,communication and *** characteristic of these networks is outlined in *** with the high-tech clusters of typical developed areas,the networks that have evolved in traditional manufacturing clusters are more affected by emotive *** cluster networks are shown to exhibit a polycentric hierarchical *** family relationships are the dominate spin-off channels of enterprises,while the supply and demand relationships and the mobility of the skilled workers are also important paths of network learning,and the cooperation relationships are comparatively *** the root enterprises,the middle-sized enterprises are comparatively more active than small-sized enterprises,and the intermediary agencies and the service institutions act as bridges of the inter-enterprises *** analysis of the structure of networks and the interactions between the networks,the four stages of network evolution are also *** four stages are dominated by the family networks,the internal division production networks,the local innovation networks and the global supply networks respectively,and they play different roles in cluster development.

关键词： evolution dynamics cluster network less developed rural area steel measuring tape manufacturing cluster social network analysis

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Predicting the academic underachievement in a high school in Spain over the next few years: A dynamic modeling approach

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MATHEMATICAL AND COMPUTER MODELLING 2013年第7-8期57卷 1703-1708页

作者： Camacho, J. Cortes, J. -C. Micle, R. -M. Sanchez-Sanchez, A. Univ Politecn Valencia Inst Univ Matemat Multidisciplinar Valencia 46022 Spain

In this paper we propose a dynamic model to understand the evolution of the academic underachievement in a high school in Spain. This model is based on ideas of Christakis and Fowler where individual habits may be transmitted by social contact. Thus, to build the model we suppose that a student has academic failure when she/he gets into study habits transmitted by students with bad academic habits. From the available academic results of the Spanish high school educational system during the period 1999-2008, we fit the model to the data in order to obtain the parameters of the model. Then, we predict the academic underachievement evolution over the next few years. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Epidemiological-type model Academic underachievement evolution dynamics Prediction

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Strategy Competition dynamics of Multi-Agent Systems in the Framework of evolutionary Game Theory

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2020年第1期67卷 152-156页

作者： Zhang, Jianlei Cao, Ming Nankai Univ Coll Artificial Intelligence Dept Automat Tianjin 300071 Peoples R China Univ Groningen Res Inst Engn & Technol NL-9747 AG Groningen Netherlands

There is the recent boom in investigating the control of evolutionary games in multi-agent systems, where personal interests and collective interests often conflict. Using evolutionary game theory to study the behaviors of multi-agent systems yields an interdisciplinary topic which has received an increasing amount of attention. Findings in real-world multi-agent systems show that individuals have multiple choices, and this diversity shapes the emergence and transmission of strategy, disease, innovation, and opinion in various social populations. In this sense, the simplified theoretical models in previous studies need to be enriched, though the difficulty of theoretical analysis may increase correspondingly. Here, our objective is to theoretically establish a scenario of four strategies, including competition among the cooperatives, defection with probabilistic punishment, speculation insured by some policy, and loner. And the possible results of strategy evolution are analyzed in detail. Depending on the initial condition, the state converges either to a domination of cooperators, or to a rock-scissors-paper type heteroclinic cycle of three strategies.

关键词： Game theory multi-agent system evolution dynamics

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It doesn't always pay to be fit: success landscapes

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JOURNAL OF BIOLOGICAL PHYSICS 2021年第4期47卷 387-400页

作者： Phan, Trung, V Wang, Gao Do, Tuan K. Kevrekidis, Ioannis G. Amend, Sarah Hammarlund, Emma Pienta, Ken Brown, Joel Liu, Liyu Austin, Robert H. Princeton Univ Dept Phys Princeton NJ 08544 USA Yale Univ Dept Mol Cellular & Dev Biol New Haven CT 06520 USA Chongqing Univ Coll Phys Chongqing Key Lab Soft Condensed Matter Phys & Sm Chongqing 400000 Peoples R China Princeton Univ Dept Math Princeton NJ 08544 USA Johns Hopkins Univ Whiting Sch Engn Dept Chem & Biomol Engn Baltimore MD 21218 USA Johns Hopkins Sch Med Brady Urol Inst Baltimore MD USA Lund Univ Dept Lab Med Lund Stem Cell Ctr & Translat Canc Res Lund Sweden H Lee Moffitt Canc Ctr & Res Inst Canc Biol & Evolut Program Tampa FL USA H Lee Moffitt Canc Ctr & Res Inst Dept Integrated Math Oncol Tampa FL USA

Landscapes play an important role in many areas of biology, in which biological lives are deeply entangled. Here we discuss a form of landscape in evolutionary biology which takes into account (1) initial growth rates, (2) mutation rates, (3) resource consumption by organisms, and (4) cyclic changes in the resources with time. The long-term equilibrium number of surviving organisms as a function of these four parameters forms what we call a success landscape, a landscape we would claim is qualitatively different from fitness landscapes which commonly do not include mutations or resource consumption/changes in mapping genomes to the final number of survivors. Although our analysis is purely theoretical, we believe the results have possibly strong connections to how we might treat diseases such as cancer in the future with a deeper understanding of the interplay between resource degradation, mutation, and uncontrolled cell growth.

关键词： evolution dynamics Fitness Landscapes Mutations Extinction Resources Cancer

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Pruning the tree of life: k-Core percolation as selection mechanism

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JOURNAL OF THEORETICAL BIOLOGY 2009年第1期256卷 142-146页

作者： Klimek, Peter Thurner, Stefan Hanel, Rudolf Med Univ Vienna HNO Comp Syst Res Grp A-1090 Vienna Austria Santa Fe Inst Santa Fe NM 87501 USA

We propose a model for evolution aiming to reproduce statistical features of fossil data, in particular the distributions of extinction events, the distribution of species per genus and the distribution of lifetimes, all of which are known to be of power-law type. The model incorporates both species-species interactions and ancestral relationships. The main novelty of this work is to show the feasibility of k-core percolation as a selection mechanism. We give theoretical predictions for the observable distributions, confirm their validity by computer simulation and compare with fossil data. A key feature of the proposed model is a co-evolving fitness landscape determined by the topology of the underlying species interactions, ecological niches emerge naturally. The predicted distributions are independent of the rate of speciation, i.e. whether one adopts an gradualist or punctuated view of evolution. (C) 2008 Elsevier Ltd. All rights reserved.

关键词： evolution dynamics Co-evolution Fitness landscapes Mass extinctions Critical phenomena

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Hypergeometric model of evolution of conserved protein coding sequences in the proteomes

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FLUCTUATION AND NOISE LETTERS 2003年第3期3卷 L295-L324页

作者： Kuznetsov, VA NICHHD Lab Integrat & Med Biophys NIH Bethesda MD 20892 USA

The diversity of protein sequences that exists today has probably evolved from antecedent evolutionarily- conserved domain-like sequences (i.e. motifs, repeats, structural domains) encoded by short ancient genes. We have studied the statistical distributions of the occurrences of the domain-like families within proteins in the proteomes. A generalized hypergeometric stochastic process is introduced in order to model the evolution dynamics of these conserved sequences. We found that the limiting probability function associated with this process fits the empirical distributions for the 90 fully-sequence bacterial, archaeal and eukaryotic organisms. For eukaryotes, our limiting distribution is reduced to Waring's distribution. However, for many archaeal and bacterial organisms the empirical distributions degenerate to the Yule-like distribution. Comparison of all of these distributions implies critical evolutionary events, which lead to the proportional growth of the number of new protein-coding genes and proteome complexity in the eukaryotic organisms and suggest that evolution of many archaeal and bacterial organisms are subject to external global (ecological) forces. Best-fit model data predicts that (1) there are only similar to 5500 or so of the distinct InterPro domains in a given higher eukaryotic organism and that (2) a general trend in eukaryotic proteome evolution is described by the increase in frequency of multi-domain proteins composed of already-existing (older) distinct domains as oppose to creating new ones. Our model can be applicable for analysis of the evolution of word distributions in the texts and be used in other large-scale evolutional systems like the Internet, the economy and the universe.

关键词： protein domains motifs conserved sequences evolution dynamics birth-death stochastic processes Kolmogorov-Waring distribution Yule distribution generalized hypergeometric series

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Zero-Determinant Strategies in Winner Takes All Game 38

Zero-Determinant Strategies in Winner Takes All Game

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38th Chinese Control Conference (CCC)

作者： Wang, Jiali Tang, Changbing Liu, Yang Zhang, Zhao Zhejiang Normal Univ Coll Math & Comp Sci Jinhua 321004 Zhejiang Peoples R China Zhejiang Normal Univ Coll Phys & Elect Engn Jinhua 321004 Zhejiang Peoples R China

ISBN: (纸本)9789881563972

A player taking zero-determinant (ZD) strategies could enforce a linear relationship between his payoff and opponents' payoff, thereby control the total excepted payoff of opponents. On the other hand, the winner-take-all (WTA) behaviors are universal in society. This paper focuses on the evolution dynamics of ZD strategies in WTA game, where we explore how the focused player controls the sum of the opponent's payoff under the dynamic rule of WTA. Numerical simulations also illustrate the effect of parameters on total payoff.

关键词： Winner takes all game ZD strategies Game theory evolution dynamics

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Studies in the physics of evolution: creation, formation, destruction

Studies in the physics of evolution: creation, formation, de...

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Conference on Complex Systems II

作者： Hanel, Rudolf Klimek, Peter Thurner, Stefan Med Univ Vienna Complex Syst Res Grp A-1090 Vienna Austria

ISBN: (纸本)9780819469731

The concept of (auto)catalytic systems has become a cornerstone in understanding evolutionary processes in various fields. The common ground is the observation that for the production of new species/goods/ideas/elements etc. the pre-existence of specific other elements is a necessary condition. In previous work some of us showed that the dynamics of the catalytic network equation can be understood in terms of topological recurrence relations paving a path towards the analytic tractability of notoriously high dimensional evolution equations. We apply this philosophy to studies in socio-physics, bio-diversity and massive events of creation and destruction in technological and biological networks. Cascading events, triggered by small exogenous fluctuations, lead to dynamics strongly resembling the qualitative picture of Schumpeterian economic evolution. Further we show that this new methodology allows to mathematically treat a variant of the threshold voter-model of opinion formation on networks. For fixed topology we find distinct phases of mixed opinions and consensus.

关键词： catalytic networks critical dynamics evolution dynamics opinion formation

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evolutionary Games with Different Time Scales of Strategy Updating 29

Evolutionary Games with Different Time Scales of Strategy Up...

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第29届中国控制与决策会议

作者： Jianlei Zhang Yuying Zhu Chunyan Zhang Department of Automation College of Computer and Control EngineeringNankai University Tianjin Key Laboratory of Intelligent Robotics College of Computer and Control EngineeringNankai University

ISBN: (纸本)9781509046584

Variation in learning rates within populations suggests that evolutionary game theory may not necessarily be restricted to uniform time scales associated with the game interaction and strategy adaption evolution. Using agent-based evolutionary simulation in the framework of prisoner's dilemma game, we demonstrate the sustainability of cooperation and the emergence of different macro-effects, when equipping agents with non-uniform time scale preferences. We employ a spatial random regular grid to describe the social interactions among agents. We conclude that the cooperation level has a strong dependence on the population composition, and the suitable fraction of the fast-updating players in the system which is associated with the maximal cooperation frequency has been found out. Besides, the extent of the promotive effect of diversifying time scales is also closely related with the payoff adoption rules in strategy updating,especially when we invent a past history for each agent. Summing up the gained results, a general conclusion can be drawn, saying that the combination of these factors(e.g. time scales and memory) gives rise to rich dynamic behavior of the system.

关键词： evolutionary Game Theory Complex Networks evolution dynamics

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