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In the context of Twitter, social capitalists are specific users trying to increase their number of followers and interactions by any means. These users are not healthy for the Twitter network since they flaw notions of influence and…

Social and Information Networks · Computer Science 2014-10-22 Vincent Labatut , Nicolas Dugué , Anthony Perez

Cumulative effect in social contagions underlies many studies on the spread of innovation, behaviors, and influence. However, few large-scale empirical studies are conducted to validate the existence of cumulative effect in the information…

Social and Information Networks · Computer Science 2014-03-05 Peng Bao , Hua-Wei Shen , Wei Chen , Xue-Qi Cheng

Online manipulation of information has become more prevalent in recent years as state-sponsored disinformation campaigns seek to influence and polarize political topics through massive coordinated efforts. In the process, these efforts…

Social and Information Networks · Computer Science 2020-09-08 Luis Vargas , Patrick Emami , Patrick Traynor

The increased popularity and ubiquitous availability of online social networks and globalised Internet access have affected the way in which people share content. The information that users willingly disclose on these platforms can be used…

Social and Information Networks · Computer Science 2016-07-12 Maria Han Veiga , Carsten Eickhoff

Research on information diffusion generally assumes complete knowledge of the underlying network. However, in the presence of factors such as increasing privacy awareness, restrictions on application programming interfaces (APIs) and…

Social and Information Networks · Computer Science 2015-05-22 Václav Belák , Afra Mashhadi , Alessandra Sala , Donn Morrison

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

We study here the clustering of directed social graphs. The clustering coefficient has been introduced to capture the social phenomena that a friend of a friend tends to be my friend. This metric has been widely studied and has shown to be…

Social and Information Networks · Computer Science 2020-08-04 Thibaud Trolliet , Nathann Cohen , Frédéric Giroire , Luc Hogie , Stéphane Pérennes

The rapid growth of social media presents a unique opportunity to study coordinated agent behavior in an unfiltered environment. Online processes often exhibit complex structures that reflect the nature of the user behavior, whether it is…

Social and Information Networks · Computer Science 2025-06-17 Anna Kalenkova , Lewis Mitchell , Ethan Johnson

Coordinated online behaviors are an essential part of information and influence operations, as they allow a more effective disinformation's spread. Most studies on coordinated behaviors involved manual investigations, and the few existing…

Social and Information Networks · Computer Science 2021-04-02 Leonardo Nizzoli , Serena Tardelli , Marco Avvenuti , Stefano Cresci , Maurizio Tesconi

How information spreads through a social network? Can we assume, that the information is spread only through a given social network graph? What is the correct way to compare the models of information flow? These are the basic questions we…

Social and Information Networks · Computer Science 2016-11-30 Andrzej Pacuk , Piotr Sankowski , Karol Wegrzycki , Piotr Wygocki

Twitter may be considered as a decentralized social information processing platform whose users constantly receive their followees' information feeds, which they may in turn dispatch to their followers. This decentralization is not devoid…

Social and Information Networks · Computer Science 2020-04-27 Agathe Baltzer , Márton Karsai , Camille Roth

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

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

How predictable is success in complex social systems? In spite of a recent profusion of prediction studies that exploit online social and information network data, this question remains unanswered, in part because it has not been adequately…

Social and Information Networks · Computer Science 2016-02-03 Travis Martin , Jake M. Hofman , Amit Sharma , Ashton Anderson , Duncan J. Watts

We restrict the propagation of misinformation in a social-media-like environment while preserving the spread of correct information. We model the environment as a random network of users in which each news item propagates in the network in…

Social and Information Networks · Computer Science 2022-11-10 Yigit E. Bayiz , Ufuk Topcu

Measuring the impact and success of human performance is common in various disciplines, including art, science, and sports. Quantifying impact also plays a key role on social media, where impact is usually defined as the reach of a user's…

Social and Information Networks · Computer Science 2019-04-09 Kiran Garimella , Robert West

The rise of social media has been accompanied by a dark side with the ease of creating fake accounts and disseminating misinformation through coordinated attacks. Existing methods to identify such attacks often rely on thematic similarities…

Social and Information Networks · Computer Science 2024-07-17 Isura Manchanayaka , Zainab Razia Zaidi , Shanika Karunasekera , Christopher Leckie

The ability to detect coordinated activity in communication networks is an ongoing challenge. Prior approaches emphasize considering any activity exceeding a specific threshold of similarity to be coordinated. However, identifying such a…

Social and Information Networks · Computer Science 2025-01-22 David Axelrod , John Paolillo

The global public sphere has changed dramatically over the past decades: a significant part of public discourse now takes place on algorithmically driven platforms owned by a handful of private companies. Despite its growing importance,…

Social and Information Networks · Computer Science 2021-08-20 Frederik Wolf , Philipp Lorenz-Spreen , Sune Lehmann

Disinformation campaigns on social media, involving coordinated activities from malicious accounts towards manipulating public opinion, have become increasingly prevalent. Existing approaches to detect coordinated accounts either make very…

Social and Information Networks · Computer Science 2021-05-19 Karishma Sharma , Yizhou Zhang , Emilio Ferrara , Yan Liu