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相关论文: Quantifying Information Overload in Social Media a…

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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…

社会与信息网络 · 计算机科学 2020-02-26 Chathika Gunaratne , Nisha Baral , William Rand , Ivan Garibay , Chathura Jayalath , Chathurani Senevirathna

A UK-based online questionnaire investigating aspects of usage of user-generated media (UGM), such as Facebook, LinkedIn and Twitter, attracted 587 participants. Results show a high degree of engagement with social networking media such as…

社会与信息网络 · 计算机科学 2013-06-05 Kalina Bontcheva , Genevieve Gorrell , Bridgette Wessels

How far and how fast does information spread in social media? Researchers have recently examined a number of factors that affect information diffusion in online social networks, including: the novelty of information, users' activity levels,…

物理与社会 · 物理学 2016-11-15 Nathan Oken Hodas , Kristina Lerman

Social media are used as main discussion channels by millions of individuals every day. The content individuals produce in daily social-media-based micro-communications, and the emotions therein expressed, may impact the emotional states of…

社会与信息网络 · 计算机科学 2017-03-07 Emilio Ferrara , Zeyao Yang

It has recently become possible to study the dynamics of information diffusion in techno-social systems at scale, due to the emergence of online platforms, such as Twitter, with millions of users. One question that systematically recurs is…

物理与社会 · 物理学 2017-11-01 Bjarke Mønsted , Piotr Sapieżyński , Emilio Ferrara , Sune Lehmann

Although the many forms of modern social media have become major channels for the dissemination of information, they are becoming overloaded because of the rapidly-expanding number of information feeds. We analyze the expanding…

物理与社会 · 物理学 2015-07-14 Ling Feng , Yanqing Hu , Baowen Li , H. Eugene Stanley , Shlomo Havlin , Lidia A. Braunstein

It is widely believed that information spread on social media is a percolation process, with parallels to phase transitions in theoretical physics. However, evidence for this hypothesis is limited, as phase transitions have not been…

物理与社会 · 物理学 2021-03-05 Jiarong Xie , Fanhui Meng , Jiachen Sun , Xiao Ma , Gang Yan , Yanqing Hu

Information avalanches in social media are typically studied in a similar fashion as avalanches of neuronal activity in the brain. Whereas a large body of literature reveals substantial agreement about the existence of a unique process…

It is commonly believed that information spreads between individuals like a pathogen, with each exposure by an informed friend potentially resulting in a naive individual becoming infected. However, empirical studies of social media suggest…

社会与信息网络 · 计算机科学 2014-03-24 Nathan O. Hodas , Kristina Lerman

Social media sites are information marketplaces, where users produce and consume a wide variety of information and ideas. In these sites, users typically choose their information sources, which in turn determine what specific information…

社会与信息网络 · 计算机科学 2016-03-16 Mahmoudreza Babaei , Przemyslaw A. Grabowicz , Isabel Valera , Krishna P. Gummadi , Manuel Gomez-Rodriguez

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…

社会与信息网络 · 计算机科学 2012-06-08 Seth A. Myers , Chenguang Zhu , Jure Leskovec

With rapid increase in online information consumption, especially via social media sites, there have been concerns on whether people are getting selective exposure to a biased subset of the information space, where a user is receiving more…

社会与信息网络 · 计算机科学 2017-08-03 Abhijnan Chakraborty , Muhammad Ali , Saptarshi Ghosh , Niloy Ganguly , Krishna P. Gummadi

Social media have become the main vehicle of information production and consumption online. Millions of users every day log on their Facebook or Twitter accounts to get updates and news, read about their topics of interest, and become…

社会与信息网络 · 计算机科学 2017-03-07 Emilio Ferrara , Zeyao Yang

With the widespread adoption of social media sites like Twitter and Facebook, there has been a shift in the way information is produced and consumed. Earlier, the only producers of information were traditional news organizations, which…

社会与信息网络 · 计算机科学 2017-10-19 Juhi Kulshrestha , Muhammad Bilal Zafar , Lisette Espin-Noboa , Krishna P. Gummadi , Saptarshi Ghosh

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,…

社会与信息网络 · 计算机科学 2013-08-14 Kristina Lerman , Rumi Ghosh , Tawan Surachawala

Social media have quickly become a prevalent channel to access information, spread ideas, and influence opinions. However, it has been suggested that social and algorithmic filtering may cause exposure to less diverse points of view, and…

社会与信息网络 · 计算机科学 2015-10-30 Dimitar Nikolov , Diego F. M. Oliveira , Alessandro Flammini , Filippo Menczer

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,…

计算机与社会 · 计算机科学 2010-03-16 Kristina Lerman , Rumi Ghosh

The many decisions people make about what to pay attention to online shape the spread of information in online social networks. Due to the constraints of available time and cognitive resources, the ease of discovery strongly impacts how…

计算机与社会 · 计算机科学 2016-05-10 Kristina Lerman

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…

社会与信息网络 · 计算机科学 2014-03-05 Peng Bao , Hua-Wei Shen , Wei Chen , Xue-Qi Cheng

Modern society depends on the flow of information over online social networks, and users of popular platforms generate significant behavioral data about themselves and their social ties. However, it remains unclear what fundamental limits…

物理与社会 · 物理学 2019-02-12 James P. Bagrow , Xipei Liu , Lewis Mitchell
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