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Content popularity prediction has been extensively studied due to its importance and interest for both users and hosts of social media sites like Facebook, Instagram, Twitter, and Pinterest. However, existing work mainly focuses on modeling…

Computer Vision and Pattern Recognition · Computer Science 2017-11-30 Wenjian Hu , Krishna Kumar Singh , Fanyi Xiao , Jinyoung Han , Chen-Nee Chuah , Yong Jae Lee

Recent research has explored the increasingly important role of social media by examining the dynamics of individual and group behavior, characterizing patterns of information diffusion, and identifying influential individuals. In this…

Social and Information Networks · Computer Science 2011-10-13 Greg Ver Steeg , Aram Galstyan

When a piece of information (microblog, photograph, video, link, etc.) starts to spread in a social network, an important question arises: will it spread to "viral" proportions -- where "viral" is defined as an order-of-magnitude increase.…

Social and Information Networks · Computer Science 2015-08-17 Ruocheng Guo , Elham Shaabani , Abhinav Bhatnagar , Paulo Shakarian

Large quantities of data flow on the internet. When a user decides to help the spread of a piece of information (by retweeting, liking, posting content), most research works assumes she does so according to information's content,…

Social and Information Networks · Computer Science 2022-04-22 Gaël Poux-Médard , Julien Velcin , Sabine Loudcher

In a competitive marketing, there are a large number of players which produce the same product. Each firm aims to diffuse its product information widely so that it's product will become popular among potential buyers. The more popular is a…

Social and Information Networks · Computer Science 2019-01-01 Rahul Goel , Anurag Singh , Fakhteh Ghanbarnejad

Many products and innovations become well-known and widely adopted through the social interactions of individuals in a population. The Bass diffusion model has been widely used to model the temporal evolution of adoption in such social…

Social and Information Networks · Computer Science 2016-06-13 Vahideh H. Manshadi , Sidhant Misra

Diffusion of information and viral content, social contagion and influence are still topics of broad evaluation. As theory explaining the role of influentials moves slightly to reduce their importance in the propagation of viral content,…

Social and Information Networks · Computer Science 2014-12-01 Anita Zbieg , Blazej Zak , Jaroslaw Jankowski , Radoslaw Michalski , Sylwia Ciuberek

Adoption or rejection of ideas, products, and technologies in a society is often governed by simultaneous propagation of positive and negative influences. Consider a planner trying to introduce an idea in different parts of a society at…

Computer Science and Game Theory · Computer Science 2013-11-26 MohammadTaghi Hajiaghayi , Hamid Mahini , Anshul Sawant

A social network grows over a period of time with the formation of new connections and relations. In recent years we have witnessed a massive growth of online social networks like Facebook, Twitter etc. So it has become a problem of extreme…

Social and Information Networks · Computer Science 2015-09-25 Amit Kumar Verma , Manjish Pal

This work is aimed at studying realistic social control strategies for social networks based on the introduction of random information into the state of selected driver agents. Deliberately exposing selected agents to random information is…

Social and Information Networks · Computer Science 2018-07-23 Marco Cremonini , Francesca Casamassima

Social networks affect the diffusion of information, and thus have the potential to reduce or amplify inequality in access to opportunity. We show empirically that social networks often exhibit a much larger potential for unequal diffusion…

Applications · Statistics 2022-10-21 Eaman Jahani , Dean Eckles , Alex 'Sandy' Pentland

A person's decision to adopt an idea or product is often driven by the decisions of peers, mediated through a network of social ties. A common way of modeling adoption dynamics is to use threshold models, where a node may become an adopter…

Physics and Society · Physics 2014-06-30 Ville-Pekka Backlund , Jari Saramäki , Raj Kumar Pan

Existing studies of how information diffuses across social networks have thus far concentrated on analysing and recovering the spread of deterministic innovations such as URLs, hashtags, and group membership. However investigating how…

Computation and Language · Computer Science 2018-01-01 Leon Derczynski , Matthew Rowe

We explore the effects of coordinated users (i.e., users characterized by an unexpected, suspicious, or exceptional similarity) in information spreading on Twitter by quantifying the efficacy of their tactics in deceiving feed algorithms to…

Social and Information Networks · Computer Science 2025-09-09 Matteo Cinelli , Stefano Cresci , Walter Quattrociocchi , Maurizio Tesconi , Paola Zola

Information diffusion across various new media platforms gradually influences perceptions, decisions, and social behaviors of individual users. In communication studies, the famous Five W's of Communication model (5W Model) has displayed…

Social and Information Networks · Computer Science 2025-06-16 Fuxia Guo , Xiaowen Wang , Yanwei Xie , Zehao Wang , Jingqiu Li , Lanjun Wang

In recent years, malicious information had an explosive growth in social media, with serious social and political backlashes. Recent important studies, featuring large-scale analyses, have produced deeper knowledge about this phenomenon,…

Social and Information Networks · Computer Science 2020-01-29 Francesco Pierri , Carlo Piccardi , Stefano Ceri

Social media has changed the landscape of marketing and consumer research as the adoption and promotion of businesses is becoming more and more dependent on how the customers are interacting and feeling about the business on platforms like…

Social and Information Networks · Computer Science 2017-12-05 Muhammad Raza Khan

How and to what extent will new activities spread through social ties? Here, we develop a more sophisticated framework than the standard mean-field approach to describe the diffusion dynamics of multiple activities on complex networks. We…

Theoretical Economics · Economics 2022-11-23 Teruyoshi Kobayashi , Yoshitaka Ogisu , Tomokatsu Onaga

As people rely on social media as their primary sources of news, the spread of misinformation has become a significant concern. In this large-scale study of news in social media we analyze eleven million posts and investigate propagation…

Social and Information Networks · Computer Science 2018-12-11 Maria Glenski , Tim Weninger , Svitlana Volkova

The inhibiting effects of information overload on the behavior of online social media users, can affect the population-level characteristics of information dissemination through online conversations. We introduce a mechanistic, agent-based…

Social and Information Networks · Computer Science 2020-02-26 Chathika Gunaratne , Nisha Baral , William Rand , Ivan Garibay , Chathura Jayalath , Chathurani Senevirathna