Disconnected-connected network transitions and phase separation driven by coevolving dynamics 由耦合演化驱动的网络结构与相分离行为 Pak Ming Hui许伯铭 Department of Physics香港中文大学物理系 The Chinese University of Hong Kong In collaborations with Oliver Graser顾皓森(CUHK Chen Xu许晨( Soochow University CCCN 2010 (15-17 October 2010, Suzhou
Disconnected-connected network transitions and phase separation driven by coevolving dynamics 由耦合演化驱动的网络结构与相分离行为 Pak Ming Hui 许伯铭 Department of Physics The Chinese University of Hong Kong 香港中文大学 物理系 In collaborations with: Oliver Gräser 顾皓森 (CUHK) Chen XU许晨 (Soochow University) CCCN 2010 (15-17 October 2010, Suzhou)
Dynamic models Two dynamics (SIS, SIR Influencing one opInion another formation), or games (PD, SG,.) COMPUTER SIMULATIONS 中心 COEVOLVING NEW SYSTEM FEATURES? THEORIES NETWORKS REAL (group dynamics SYSTEMS To read more on the topic in general Perc and Szolnoki, Biosystems 99, 109(2009) Szabo and Fath, Physics Reports 446, 97(2007) Gross and blasius, J.R. Soc. Interface 5, 259(2008)
Dynamic models (SIS,SIR, opinion formation), or games (PD,SG,…) NETWORKS (group dynamics) NEW FEATURES? COMPUTER SIMULATIONS THEORIES REAL SYSTEMS COEVOLVING SYSTEM Two dynamics influencing one another To read more on the topic in general: Perc and Szolnoki, Biosystems 99, 109 (2009) Szabo and Fath, Physics Reports 446, 97 (2007) Gross and Blasius, J. R. Soc. Interface 5, 259 (2008)
Dynamic models (SIS, SIR, opinion Two dynamics formation), or influencing one another games (PD, SG, .) COMPUTER SIMULATIONS 中哈( NEW FEATURES? THEORIES NETWORKS (group REAL dynamics SYSTEMS The general ideas have been applied to Adaptive epidemic models: e.g., Gross et al., PRL 96, 208701(2006); Shaw and Schwartz, PRE71, 066101(2008 Opinion formation models: e.g., Vazquez et al., PRL 100, 108702 (2008); Nardini et al.. PRL100,158701(2008) Wars and human conflicts: e.g. Bohorquez et al., Nature 462, 911(2009); Zhao etal,PRL103,148701(2009)
Dynamic models (SIS,SIR, opinion formation), or games (PD,SG,…) NETWORKS (group dynamics) NEW FEATURES? COMPUTER SIMULATIONS THEORIES REAL SYSTEMS COEVOLVING SYSTEM Two dynamics influencing one another The general ideas have been applied to: Adaptive epidemic models: e.g., Gross et al., PRL 96, 208701 (2006); Shaw and Schwartz, PRE 71, 066101 (2008) Opinion formation models: e.g., Vazquez et al., PRL 100, 108702 (2008); Nardini et al., PRL 100, 158701 (2008) Wars and human conflicts: e.g. Bohorquez et al., Nature 462, 911 (2009); Zhao et al., PRL 103, 148701 (2009)
Dynamic models (SIS, SIR, opinion Two dynamics formation), or influencing one another games (PD, SG, .) COMPUTER SIMULATIONS 中哈( NEW FEATURES? THEORIES NETWORKS (group REAL dynamics SYSTEMS And more. (from PM Huis group) Modeling of guilds in online games World of Warcraft and LA street gangs- Zhao et al., PRE 79, 066117(2009) Effects of social group dynamics on contagion(You tube downloads foreign exchange rates, flu)-Zhao et al., PRE 81, 056107(2010)
Dynamic models (SIS,SIR, opinion formation), or games (PD,SG,…) NETWORKS (group dynamics) NEW FEATURES? COMPUTER SIMULATIONS THEORIES REAL SYSTEMS COEVOLVING SYSTEM Two dynamics influencing one another And more…(from PM Hui’s group): Modeling of guilds in online games (World of Warcraft) and LA street gangs – Zhao et al., PRE 79, 066117 (2009) Effects of social group dynamics on contagion (YouTube downloads, foreign exchange rates, flu) – Zhao et al., PRE 81, 056107 (2010)
Co-evolving Modeling-"Job Hunting Model An agent looks for a group that he thinks he could contribute a group assess the agent to see if he can contribute to the group After joining group agent has a better understanding of the group and assess the group (Can I really contribute? If agent is unhappy with the group agent will quit! If agent feels OK with the group, he still wants to find a better group If he finds a better group, he will switch group if not, he stays Team formation model (agents with skills that complement each other) against kinship(buddy-buddy ) model
Co-evolving Modeling – “Job Hunting Model” • An agent looks for a group that he thinks he could contribute • A group assess the agent to see if he can contribute to the group • After joining group, agent has a better understanding of the group and assess the group (Can I really contribute?) • If agent is unhappy with the group, agent will quit! • If agent feels OK with the group, he still wants to find a better group • If he finds a better group, he will switch group; if not, he stays • Team formation model (agents with skills that complement each other) against kinship (buddy-buddy) model