Li Chen

Li Chen
Humboldt-Universität zu Berlin | HU Berlin · Integrative Research Institute for the Sciences (IRIS)

PhD in Nature Science

About

38
Publications
2,801
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
600
Citations
Introduction
Li Chen currently works at Shaanxi Normal University. Previously he worked in Robert Koch Institute, and MPIPKS. Li does research in Theoretical Physics and Biophysics. Their current project is 'A complex contagion : from interacting epidemics', Evolutionary game theory, swarming stransitions etc.
Additional affiliations
February 2017 - March 2020
Shaanxi Normal University
Position
  • Professor
Description
  • PI
October 2013 - September 2016
Robert Koch Institut
Position
  • PostDoc Position
Description
  • with Prof. Dirk Brockmann
August 2011 - September 2013
Max Planck Institute for the Physics of Complex Systems
Position
  • Guest Scientist
Description
  • Within Dr. Thilo Gross group

Publications

Publications (38)
Article
Behavioral experiments on the Ultimatum Game have shown that we human beings have a remarkable preference in fair play, contradicting the predictions by the game theory. Most of the existing models seeking for explanations, however, strictly follow the assumption of Homo economicus in orthodox Economics that people are self-interested and fully rat...
Preprint
Full-text available
How cooperation emerges in our society remains largely unknown. One reason is that most previous studies strictly follow the assumption of \emph{Homo economicus} that individuals are rational and maximizing the earnings is the only incentive of their actions. We human beings, however, are complex and our behaviors are multiple-motive driven. In thi...
Preprint
Full-text available
Decent social fairness is highly desired for both socio-economic activities and individuals, as it is one of the cornerstones of the social welfare and sustainability. How to effectively promote the level of fairness thus becomes a significant issue to be addressed. Here, by adopting a pinning control procedure, we find that when a very small fract...
Preprint
Behavioral experiments on the Ultimatum Game have shown that we human beings have remarkable preference in fair play, contradicting the predictions by the game theory. Most of the existing models seeking for explanations, however, strictly follow the assumption of \emph{Homo economicus} in orthodox Economics that people are self-interested and full...
Preprint
The success of modern civilization is built upon widespread cooperation in human society, deciphering the mechanisms behind has being a major goal for centuries. However, a crucial fact is missing in most prior studies that games in the real world are typically played simultaneously and interactively rather than separately as assumed. Here we intro...
Preprint
We study the evolution two mutually interacting games with both pairwise games as well as the public goods game on different topologies. On 2d square lattices, we reveal that the game-game interaction can promote the cooperation prevalence in all cases, and the cooperation-defection phase transitions even become absent and fairly high cooperation i...
Article
Full-text available
Social hierarchy is important that can not be ignored in human socioeconomic activities and in the animal world. Here we incorporate this factor into the evolutionary game to see what impact it could have on the cooperation outcome. The probabilistic strategy adoption between two players is then not only determined by their payoffs, but also by the...
Article
Full-text available
Social hierarchy is central to decision-making in the coordinated movement of many swarming species. Here we propose a hierarchical swarm model in the spirit of the Vicsek model of self-propelled particles. We show that, as the hierarchy becomes important, the swarming transition changes from the weak first-order transition observed for egalitarian...
Preprint
Social hierarchy is important that can not be ignored in human socioeconomic activities and in the animal world. Here we incorporate this factor into the evolutionary game to see what impact it could have on the cooperation outcome. The probabilistic strategy adoption between two players is then not only determined by their payoffs, but also by the...
Article
Collective behaviors by self-organization are ubiquitous in nature and human society and extensive efforts have been made to explore the mechanisms behind them. Artificial intelligence (AI) as a rapidly developing field is of great potential for these tasks. By combining reinforcement learning with evolutionary game (RLEG), we numerically discover...
Article
Full-text available
Large-scale cooperation underpins the evolution of ecosystems and the human society, and the collective behaviors by self-organization of multi-agent systems are the key for understanding. As artificial intelligence (AI) prevails in almost all branches of science, it would be of great interest to see what new insights of collective behaviors could...
Preprint
Full-text available
Social hierarchy is central to decision-making such as the coordinated movement of many swarming species. Here we propose a hierarchical swarm model for collective motion in the spirit of the Vicsek model of self-propelled particles. We show that, as the hierarchy becomes more important, the swarming transition changes dramatically from the weak fi...
Preprint
Large-scale cooperation underpins the evolution of ecosystems and the human society, and the collective behaviors by self-organization of multi-agent systems are the key for understanding. As artificial intelligence (AI) prevails in almost all branches of science, it would be of great interest to see what new insights of collective behavior could b...
Article
Full-text available
The spread of infectious diseases, rumors, fashions, and innovations are complex contagion processes, embedded in network and spatial contexts. While the studies in the former context are intensively expanded, the latter remains largely unexplored. In this paper, we investigate the pattern formation of an interacting contagion, where two infections...
Article
The synchronization behavior of networked chaotic oscillators with periodic coupling is investigated. It is observed in simulations that the network synchronizability could be significantly influenced by tuning the coupling frequency, even making the network alternating between the synchronous and nonsynchronous states. Using the master stability f...
Preprint
The synchronization behavior of networked chaotic oscillators with periodic coupling is investigated. It is observed in simulations that the network synchronizability could be significantly influenced by tuning the coupling frequency, even making the network alternated between the synchronous and non-synchronous states. By the method of master stab...
Preprint
The spread of infectious diseases, rumors, fashions, innovations are complex contagion processes, embedded both in networked and spatial contexts. Here we investigate the pattern dynamics of a complex contagion, where two agents, say $A$ and $B$, interact with each other and diffuse simultaneously in the geographic space. The contagion process for...
Article
Full-text available
We investigate the effects of cooperativity between contagion processes that spread and persist in a host population. We propose and analyze a dynamical model in which individuals that are affected by one transmissible agent A exhibit a higher than baseline propensity of being affected by a second agent B and vice versa. The model is a natural exte...
Article
Full-text available
We investigate the effects of cooperation between two interacting infectious diseases that spread and stabilize in a host population. We propose a model in which individuals that are infected with one disease are more likely to acquire the second disease, both diseases following the susceptible-infected-susceptible reaction scheme. We analyze coope...
Article
Full-text available
We study the spreading of two mutually cooperative diseases on different network topologies, and with two microscopic realizations, both of which are stochastic versions of an SIR type model studied by us recently in mean field approximation. There it had been found that cooperativity can lead to first-order spreading/extinction transitions. Howeve...
Article
Full-text available
The spreading of contagions can exhibit a percolation transition, which separates transitory prevalence from outbreaks that reach a finite fraction of the population. Such transitions are commonly believed to be continuous, but empirical studies have shown more violent spreading modes when the participating agents are not limited to one type. Strik...
Article
Full-text available
We consider a class of adaptive network models where links can only be created or deleted between nodes in different states. These models provide an approximate description of a set of systems where nodes represent agents moving in physical or abstract space, the state of each node represents the agent's heading direction, and links indicate mutual...
Article
Full-text available
Synchronization of two time-delayed chemically coupled neurons with burst-spiking states is studied. Different from the previous study by N. Buric et al. (Phys. Rev. E 78, 036211 (2008)), it is found that exactly synchronous burst-spiking dynamics can occur for small coupling strengths and time delays. The results are confirmed by common time delay...
Article
Full-text available
Modeling epidemic dynamics plays an important role in studying how diseases spread, predicting their future course, and designing strategies to control them. In this letter, we introduce a model of SIR (susceptible-infected-removed) type which explicitly incorporates the effect of {\it cooperative coinfection}. More precisely, each individual can g...
Article
Full-text available
We show that delayed coupling could induce or enhance stable chaotic synchronization in complex networks, where no or weak synchrony would exist for the usual instantaneous coupling. The mechanism behind this phenomenon reveals that the phase structure of the coupled chaotic oscillator plays the main role. Numerical results for Rössler and Lorenz o...
Article
Full-text available
The dynamics of brain functional motifs are studied. It is shown that different rhythms can occur in the motifs when time delay is taken into account. These rhythms include synchronization, winnerless competition (WLC) and “two plus one” (TPO). The main discovery is that the transition from WLC to synchronization can be induced simply by time delay...
Article
We dissect Rössler equation and give a linear core, which can capture the essence of Rössler oscillator. The maximal transversal Lyapunov exponents calculated from the core are in good agreement with those obtained from Rössler equation. The idea is also tested for coupled Chua's circuit systems. Numerical experiments are given.
Article
Full-text available
We investigate the coevolution dynamics of node activities and coupling strengths in coupled chaotic oscillators via a simple threshold adaptive scheme. The coupling strength is synchronous activity regulated, which in turn is able to boost the synchronization remarkably. In the case of weak coupling, the globally coupled oscillators present a high...
Article
Full-text available
Synchronization stability in complex networks is a topic of theoretical interest and practical importance. Increasing effort has been devoted to the enhancement of synchronizability of networks, or more specifically, the design of synchronizable networks. However, most previous attempts turn the coupling weight/gradient or change the topological in...
Article
Full-text available
We consider the problem of synchronizing a general complex network by means of the on-off coupling strategy; in this case, the on-off time scale is varied from a very small to a very large value. In particular, we find that when the time scale is comparable to that of node dynamics, synchronization can also be achieved and greatly optimized for the...
Article
Full-text available
In searching the indicators of synchronizability of complex networks, the maximal betweenness centrality is usually proposed as a good indicator. However, we find that a better indicator for synchronizability in heterogeneous networks is the maximal degree from both the average results and the individual realization of a network, which usually make...
Article
Full-text available
An analytical expression for the synchronization time in coupled-map networks is given. By means of the expression, the synchronization time for any given network can be predicted accurately. Furthermore, for networks in which the distributions of nontrivial eigenvalues of coupling matrices have some unique characteristics, analytical results for t...
Article
Full-text available
We study the fast synchronization in complex networks of coupled Hindmarsh-Rose neurons. The relation between the maximal Lyapunov exponent corresponding to the least stable transverse mode and the speed of synchronization is given, based on which we can obtain an optimal value of global coupling strength, with which the network synchronizes with t...
Article
Full-text available
The effects of dynamical symmetry on the chaotic pattern synchronization in modular networks have been studied. It is found that the topological and the coupling symmetries between modules (subnetworks) can both enhance and speed up the chaotic pattern synchronization between modules. The calculation of Lyapunov exponent shows that this dynamical s...
Article
Full-text available
We show that if the dynamical flow, i.e., the non-vanishing coupling term, exists between nodes in synchronized networks, a wide variety of stable synchronous states of complex networks may occur, which may differ substantially from the dynamics of an individual isolated node. Stability analysis of the dynamics of Hindmarsh-Rose and foodweb network...
Article
Full-text available
The synchronous dynamics of complex networks of pulse-coupled bursting neurons with heterogeneous coupling is studied. The results reveal that the generation and the stability of the completely synchronous state in such networks only depends on the input weight of each neuron, which is independent of the network structure. If the input weight is he...

Network

Cited By