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This paper is focused on the computational analysis of collective discourse, a collective behavior seen in non-expert content contributions in online social media. We collect and analyze a wide range of real-world collective discourse…

Social and Information Networks · Computer Science 2012-04-18 Vahed Qazvinian , Dragomir R. Radev

Traces of user activities recorded in online social networks such as the creation, viewing and forwarding/sharing of information over time open new possibilities to quantitatively and systematically understand the information diffusion…

Social and Information Networks · Computer Science 2018-04-17 Liang Liu , Bo Qu , Bin Chen , Alan Hanjalic , Huijuan Wang

The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information ecosystem where individuals and machines compete for…

In online social media systems users are not only posting, consuming, and resharing content, but also creating new and destroying existing connections in the underlying social network. While each of these two types of dynamics has…

Social and Information Networks · Computer Science 2014-03-13 Seth A. Myers , Jure Leskovec

Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous,…

Social and Information Networks · Computer Science 2013-08-14 Kristina Lerman , Rumi Ghosh , Tawan Surachawala

Arguably one of the most important features of Twitter is the support for "retweets" or messages re-posted verbatim by a user that were originated by someone else. (This does not include modified tweets that sometimes are referred to as…

Social and Information Networks · Computer Science 2014-11-14 Panagiotis Takis Metaxas , Eni Mustafaraj , Kily Wong , Laura Zeng , Megan O'Keefe , Samantha Finn

This paper presents a quantitative study of Twitter, one of the most popular micro-blogging services, from the perspective of user influence. We crawl several datasets from the most active communities on Twitter and obtain 20.5 million user…

Social and Information Networks · Computer Science 2013-07-17 Huy Nguyen , Rong Zheng

The rise of a trending topic on Twitter or Facebook leads to the temporal emergence of a set of users currently interested in that topic. Given the temporary nature of the links between these users, being able to dynamically identify…

Social and Information Networks · Computer Science 2017-07-28 Lorena Recalde , David F. Nettleton , Ricardo Baeza-Yates , Ludovico Boratto

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

This article presents a novel approach for learning low-dimensional distributed representations of users in online social networks. Existing methods rely on the network structure formed by the social relationships among users to extract…

Social and Information Networks · Computer Science 2017-10-23 Harvineet Singh , Amitabha Bagchi , Parag Singla

Widespread interest in the diffusion of information through social networks has produced a large number of Social Dynamics models. A majority of them use theoretical hypothesis to explain their diffusion mechanisms while the few empirically…

Physics and Society · Physics 2011-05-18 José Luis Iribarren , Esteban Moro

Social networks play a fundamental role in the diffusion of information. However, there are two different ways of how information reaches a person in a network. Information reaches us through connections in our social networks, as well as…

Social and Information Networks · Computer Science 2012-06-08 Seth A. Myers , Chenguang Zhu , Jure Leskovec

Information cascades are ubiquitous in various social networking web sites. What mechanisms drive information diffuse in the networks? How does the structure and size of the cascades evolve in time? When and which users will adopt a certain…

Social and Information Networks · Computer Science 2015-12-29 Tao Wu , Leiting Chen , Xingping Xian , Yuxiao Guo

Citation analysis, as a tool for quantitative studies of science, has long emphasized direct citation relations, leaving indirect or high order citations overlooked. However, a series of early and recent studies demonstrate the existence of…

Social and Information Networks · Computer Science 2020-04-28 Chao Min , Qingyu Chen , Erjia Yan , Yi Bu , Jianjun Sun

Information diffusion prediction aims at predicting the target users in the information diffusion path on social networks. Prior works mainly focus on the observed structure or sequence of cascades, trying to predict to whom this cascade…

Social and Information Networks · Computer Science 2023-08-09 Xiaowen Wang , Lanjun Wang , Yuting Su , Yongdong Zhang , An-An Liu

We model social media as collections of users producing and consuming content. Users value consuming content, but doing so uses up their scarce attention, and hence they prefer content produced by more able users. Users also value receiving…

General Economics · Economics 2021-04-05 Apostolos Filippas , John Horton

The friendship paradox implies that a person will, on average, have fewer friends than their friends do. Prior work has shown how the friendship paradox can lead to perception biases regarding behaviors that correlate with the number of…

Social and Information Networks · Computer Science 2022-11-11 Ahmed Medhat , Shankar Iyer

Feld's friendship paradox states that "your friends have more friends than you, on average." This paradox arises because extremely popular people, despite being rare, are overrepresented when averaging over friends. Using a sample of the…

Social and Information Networks · Computer Science 2013-04-15 Nathan O. Hodas , Farshad Kooti , Kristina Lerman

Online platforms play a relevant role in the creation and diffusion of false or misleading news. Concerningly, the COVID-19 pandemic is shaping a communication network - barely considered in the literature - which reflects the emergence of…

Social and Information Networks · Computer Science 2024-05-28 Piergiorgio Castioni , Giulia Andrighetto , Riccardo Gallotti , Eugenia Polizzi , Manlio De Domenico

The contagion dynamics can emerge in social networks when repeated activation is allowed. An interesting example of this phenomenon is retweet cascades where users allow to re-share content posted by other people with public accounts. To…

Social and Information Networks · Computer Science 2020-11-03 Zbigniew Palmowski , Daria Puchalska