竞争系统中的系统效率与个人绩效

Diffusion dynamics of competing information on networks

Information diffusion on social networks has been described as a collective outcome of threshold behaviors in the framework of threshold models. However, since the existing models do not take into account individuals' optimization problem, it remains an open question what dynamics emerge in the diffusion process when individuals face multiple (and possibly incompatible) information. Here, we develop a microfounded general threshold model that enables us to analyze the collective dynamics of individual behavior in the propagation of multiple information. The analysis reveals that the virality o…

Dynamics of competing ideas in complex social systems

Individuals accepting an idea may intentionally or unintentionally impose influences in a certain neighborhood area, making other individuals within the area less likely or even impossible to accept other competing ideas. Depending on whether such influences strictly prohibit neighborhood individuals from accepting other ideas or not, we classify them into exclusive and non-exclusive influences, respectively. Our study reveals for the first time the rich and complex dynamics of two competing ideas with neighborhood influences in scale-free social networks: depending on whether they have exclus…

Competing epidemics on complex networks

Human diseases spread over networks of contacts between individuals and a substantial body of recent research has focused on the dynamics of the spreading process. Here we examine a model of two competing diseases spreading over the same network at the same time, where infection with either disease gives an individual subsequent immunity to both. Using a combination of analytic and numerical methods, we derive the phase diagram of the system and estimates of the expected final numbers of individuals infected with each disease. The system shows an unusual dynamical transition between dominance …

Competing for Attention in Social Media under Information Overload Conditions

Although the many forms of modern social media have become major channels for the dissemination of information, they are becoming overloaded because of the rapidly-expanding number of information feeds. We analyze the expanding user-generated content in Sina Weibo, the largest micro-blog site in China, and find evidence that popular messages often follow a mechanism that differs from that found in the spread of disease, in contrast to common believe. In this mechanism, an individual with more friends needs more repeated exposures to spread further the information. Moreover, our data suggest th…

社交媒体注意力之争：竞争网络上的观点动力学

Social media battle for attention: opinion dynamics on competing networks

本文提出多重网络观点动力学模型，研究用户在竞争性社交媒体平台间的注意力分配，发现中性算法平台仍可能维持极化，而多平台动态隔离可在提升满意度时不加剧极化。

网络上竞争性信息传播的证据累积漂移-扩散模型

An evidence-accumulating drift-diffusion model of competing information spread on networks

提出一种基于信念形成心理学、以漂移-扩散过程刻画证据累积的竞争性信息传播智能体模型，并通过 Monte Carlo 模拟揭示信息源持续时间比数量更能决定共识或极化。