Dynamics of social contagions with limited contact capacity

نویسندگان

  • Wei Wang
  • Panpan Shu
  • Yu-Xiao Zhu
  • Ming Tang
  • Yi-Cheng Zhang
چکیده

Individuals are always limited by some inelastic resources, such as time and energy, which restrict them to dedicate to social interaction and limit their contact capacities. Contact capacity plays an important role in dynamics of social contagions, which so far has eluded theoretical analysis. In this paper, we first propose a non-Markovian model to understand the effects of contact capacity on social contagions, in which each adopted individual can only contact and transmit the information to a finite number of neighbors. We then develop a heterogeneous edge-based compartmental theory for this model, and a remarkable agreement with simulations is obtained. Through theory and simulations, we find that enlarging the contact capacity makes the network more fragile to behavior spreading. Interestingly, we find that both the continuous and discontinuous dependence of the final adoption size on the information transmission probability can arise. There is a crossover phenomenon between the two types of dependence. More specifically, the crossover phenomenon can be induced by enlarging the contact capacity only when the degree exponent is above a critical degree exponent, while the final behavior adoption size always grows continuously for any contact capacity when degree exponent is below the critical degree exponent.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Complex Contagions Models in Opportunistic Mobile Social Networks

Information contagions is one of the key applications in opportunistic mobile social networks (OMSNs). Most of the recent work only considers the simple contagions, in which the “infected” node will infect each of its opinion-free neighbors through simple contact. However, when the behaviors, beliefs, or preferences spread through the social contact, the willingness to participate may require i...

متن کامل

Blocking Complex Contagions Using Community Structure

Blocking the propagation of contagions in populations has many applications, such as stopping the dissemination of leaked information and impeding the spread of an ideology or opinion. Several methods exist for blocking contagions by removing key or critical nodes from a network representation of a population. Some methods, based on network topology alone, run very fast, but their performance c...

متن کامل

Complex Contagions: A Decade in Review

Since the publication of “Complex Contagions and the Weakness of Long Ties” in 2007, complex contagions have been studied across an enormous variety of social domains. In reviewing this decade of research, we discuss recent advancements in applied studies of complex contagions, particularly in the domains of health, innovation diffusion, social media, and politics. We also discuss how these emp...

متن کامل

Modeling the Spread of Multiple Concurrent Contagions on Networks

Many contagions spread over various types of communication networks and their spreading dynamics have been extensively studied in the literature. Here we propose a general model for the concurrent spread of an arbitrary number of contagions in complex networks. The model is stochastic and runs in discrete time, and includes two widely used mechanisms by which a node can change its state. The fi...

متن کامل

Failure in Complex Social Networks

A class of inhomogenously wired networks called ‘‘scale-free’’ networks have been shown to be more robust against failure than more homogenously connected exponential networks. The robustness of scale-free networks consists in their ability to remain connected even when failure occurs. The diffusion of information and disease across a network only requires a single contact between nodes, making...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Chaos

دوره 25 10  شماره 

صفحات  -

تاریخ انتشار 2015