Diffusion and contagion in networks with heterogeneous agents and homophily
نویسندگان
چکیده
We study the diffusion of an idea, a product, a disease, a cultural fad, or a technology among agents in a social network that exhibits segregation or homophily (the tendency of agents to associate with others similar to themselves). Individuals are distinguished by their types e.g., race, gender, age, wealth, religion, profession which, together with biased interaction patterns, induce heterogeneous rates of adoption or infection. We identify the conditions under which a behavior or disease diffuses and becomes persistent in the population. These conditions relate to the level of homophily in a society and the underlying proclivities of various types for adoption or infection. In particular, we show that homophily can facilitate diffusion from a small initial seed of adopters.
منابع مشابه
Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks.
Node characteristics and behaviors are often correlated with the structure of social networks over time. While evidence of this type of assortative mixing and temporal clustering of behaviors among linked nodes is used to support claims of peer influence and social contagion in networks, homophily may also explain such evidence. Here we develop a dynamic matched sample estimation framework to d...
متن کاملHow Homophily Affects the Speed of Contagion, Best Response and Learning Dynamics∗
We examine how diffusion, best response, and learning processes are influenced by social network structure. We focus on the impact of two network properties: link density and homophily – the tendency of agents to associate disproportionately with those having similar traits. Homophily does not affect the speed of processes that travel along shortest paths; their rate is determined by the size o...
متن کاملImpact Of Homophily On Diffusion Dynamics Over Social Networks
The purpose of this study is to find out under what conditions homophily reinforce the diffusions over social networks or undermines them. To realize this aim, formal modeling approach is utilized and an Agent-Based Model is constructed. Afterwards, diffusion of a non-sticky innovation is investigated with the experiments having varying homophily levels in a social network with two distinct kin...
متن کاملProviding a Link Prediction Model based on Structural and Homophily Similarity in Social Networks
In recent years, with the growing number of online social networks, these networks have become one of the best markets for advertising and commerce, so studying these networks is very important. Most online social networks are growing and changing with new communications (new edges). Forecasting new edges in online social networks can give us a better understanding of the growth of these networ...
متن کاملDepartment of Statistics -statistics Seminar – Fall 2011 Title: Does Globalization Affect Regional Growth? Evidence for Nuts-2 Regions in Eu-27 Title: Parameterization and Bayesian Modeling
We analyze the influence of newly constructed globalization measures on regional growth for the EU-27 countries between 2001 and 2006. The spatial Chow-Lin procedure, a method constructed by the authors, was used to construct on a NUTS-2 level a complete regional data for exports, imports and FDI inward stocks, which serve as indicators for the influence of globalization, integration and techno...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Network Science
دوره 1 شماره
صفحات -
تاریخ انتشار 2013