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Adoption of cultural innovation (e.g., music, beliefs, language) is often geographically correlated, with adopters largely residing within the boundaries of relatively few well-studied, socially significant areas. These cultural regions are…

Social and Information Networks · Computer Science 2022-02-11 Aparna Ananthasubramaniam , David Jurgens , Daniel M. Romero

In a diversified context with multiple social networking sites, heterogeneous activity patterns and different user-user relations, the concept of "information cascade" is all but univocal. Despite the fact that such information cascades can…

Physics and Society · Physics 2013-03-20 Raquel A Baños , Javier Borge-Holthoefer , Yamir Moreno

Fads, product adoption, mobs, rumors, memes, and emergent norms are diverse social contagions that have been modeled as network cascades. Empirical study of these cascades is vulnerable to what we describe as the "opacity problem": the…

Social and Information Networks · Computer Science 2018-11-21 George Berry , Christopher J. Cameron , Patrick Park , Michael W. Macy

Large cascades can develop in online social networks as people share information with one another. Though simple reshare cascades have been studied extensively, the full range of cascading behaviors on social media is much more diverse.…

Social and Information Networks · Computer Science 2018-05-22 Justin Cheng , Jon Kleinberg , Jure Leskovec , David Liben-Nowell , Bogdan State , Karthik Subbian , Lada Adamic

Two prevailing theories for explaining social group or community structure are cohesion and identity. The social cohesion approach posits that social groups arise out of an aggregation of individuals that have mutual interpersonal…

Social and Information Networks · Computer Science 2012-12-04 Hemant Purohit , Yiye Ruan , David Fuhry , Srinivasan Parthasarathy , Amit Sheth

A fundamental question related to innovation diffusion is how the social network structure influences the process. Empirical evidence regarding real-world influence networks is very limited. On the other hand, agent-based modeling…

Physics and Society · Physics 2015-06-17 Katarzyna Sznajd-Weron , Janusz Szwabinski , Rafal Weron , Tomasz Weron

In real world social networks, there are multiple cascades which are rarely independent. They usually compete or cooperate with each other. Motivated by the reinforcement theory in sociology we leverage the fact that adoption of a user to…

Social and Information Networks · Computer Science 2016-11-23 Ali Zarezade , Ali Khodadadi , Mehrdad Farajtabar , Hamid R. Rabiee , Hongyuan Zha

Understanding the heterogeneous role of individuals in large-scale information spreading is essential to manage online behavior as well as its potential offline consequences. To this end, most existing studies from diverse research domains…

Social and Information Networks · Computer Science 2024-03-19 Fang Zhou , Linyuan Lü , Jianguo Liu , Manuel Sebastian Mariani

When multiple innovations compete for adoption, historical chance leading to early advantage can generate lock-in effects that allow suboptimal innovations to succeed at the expense of superior alternatives. Research on the diffusion of…

Physics and Society · Physics 2023-02-01 Joshua Becker

Network motifs are patterns of over-represented node interactions in a network which have been previously used as building blocks to understand various aspects of the social networks. In this paper, we use motif patterns to characterize the…

Social and Information Networks · Computer Science 2019-03-05 Soumajyoti Sarkar , Ruocheng Guo , Paulo Shakarian

The emergence of online social networks has greatly facilitated the diffusion of information and behaviors. While the two diffusion processes are often intertwined, "talking the talk" does not necessarily mean "walking the talk"--those who…

Social and Information Networks · Computer Science 2018-01-24 Kang Zhao , Shiyao Wang , Ion B. Vasi , Qi Zhang

Ideas, behaviors, and opinions spread through social networks. If the probability of spreading to a new individual is a non-linear function of the fraction of the individuals' affected neighbors, such a spreading process becomes a "complex…

Physics and Society · Physics 2023-08-30 Julian Kates-Harbeck , Michael M. Desai

In social and biological systems, the structural heterogeneity of interaction networks gives rise to the emergence of a small set of influential nodes, or influencers, in a series of dynamical processes. Although much smaller than the…

Physics and Society · Physics 2018-05-04 Sen Pei , Flaviano Morone , Hernán A. Makse

In many complex networked systems, such as online social networks, activity originates at certain nodes and subsequently spreads on the network through influence. In this work, we consider the problem of modeling the spread of influence and…

Social and Information Networks · Computer Science 2017-07-18 Arun Sathanur , Mahantesh Halappanavar , Yi Shi , Walin Sagduyu

The rapid development of social networks has a wide range of social effects, which facilitates the study of social issues. Accurately forecasting the information propagation process within social networks is crucial for promptly…

Social and Information Networks · Computer Science 2024-03-12 Xinyu Li , Yutong Guo , Jixuan He , Jiacheng Zhao , Chenwei Wang

We consider the problem of estimating the latent structure of a social network based on the observed information diffusion events, or cascades, where the observations for a given cascade consist of only the timestamps of infection for…

Machine Learning · Statistics 2020-03-27 Ming Yu , Varun Gupta , Mladen Kolar

How does information flow in online social networks? How does the structure and size of the information cascade evolve in time? How can we efficiently mine the information contained in cascade dynamics? We approach these questions…

Social and Information Networks · Computer Science 2010-11-18 Rumi Ghosh , Kristina Lerman

While narratives have shaped cognition and cultures for centuries, digital media and online social networks have introduced new narrative phenomena. With increased narrative agency, networked groups of individuals can directly contribute…

Social and Information Networks · Computer Science 2024-06-03 J. Hunter Priniski , Bryce Linford , Sai Krishna , Fred Morstatter , Jeff Brantingham , Hongjing Lu

A common assumption in the literature on information diffusion is that populations are homogeneous regarding individuals' information acquisition and propagation process: Individuals update their informed and actively communicating state…

Multiagent Systems · Computer Science 2025-01-16 Flávio L. Pinheiro , Vítor V. Vasconcelos

Information on social media spreads through an underlying diffusion network that connects people of common interests and opinions. This diffusion network often comprises multiple layers, each capturing the spreading dynamics of a certain…

Social and Information Networks · Computer Science 2024-10-08 Yan Xia , Ted Hsuan Yun Chen , Mikko Kivelä
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