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相关论文: Empirical Evaluation of Link Deletion Methods for …

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Given a social network, which of its nodes have a stronger impact in determining its structure? More formally: which node-removal order has the greatest impact on the network structure? We approach this well-known problem for the first time…

社会与信息网络 · 计算机科学 2011-10-21 Paolo Boldi , Marco Rosa , Sebastiano Vigna

Social networks enable users to freely communicate with each other and share their recent news, ongoing activities or views about different topics. As a result, they can be seen as a potentially viable source of information to understand…

信息检索 · 计算机科学 2016-06-29 Fattane Zarrinkalam , Ebrahim Bagheri

In the past few years, the research community has dedicated growing interest to the issue of false news circulating on social networks. The widespread attention on detecting and characterizing false news has been motivated by considerable…

社会与信息网络 · 计算机科学 2020-01-29 Francesco Pierri , Stefano Ceri

Nowadays, information spreading on social networks has triggered an explosive attention in various disciplines. Most of previous works in this area mainly focus on discussing the effects of spreading probability or immunization strategy on…

物理与社会 · 物理学 2013-08-20 Chuang Liu , Zi-Ke Zhang

When users on social media share content without considering its veracity, they may unwittingly be spreading misinformation. In this work, we investigate the design of lightweight interventions that nudge users to assess the accuracy of…

人机交互 · 计算机科学 2021-05-25 Farnaz Jahanbakhsh , Amy X. Zhang , Adam J. Berinsky , Gordon Pennycook , David G. Rand , David R. Karger

News and social media are widely used to disseminate science, but do they also help raise awareness of problems in research? This study investigates whether high levels of news and social media attention might accelerate the retraction…

数字图书馆 · 计算机科学 2025-03-25 Er-Te Zheng , Hui-Zhen Fu , Xiaorui Jiang , Zhichao Fang , Mike Thelwall

Recently, online social networks have become major battlegrounds for political campaigns, viral marketing, and the dissemination of news. As a consequence, ''bad actors'' are increasingly exploiting these platforms, becoming a key challenge…

社会与信息网络 · 计算机科学 2019-01-09 Sourav Medya , Arlei Silva , Ambuj Singh

Social networks scaffold the diffusion of information on social media. Much attention has been given to the spread of true vs. false content on online social platforms, including the structural differences between their diffusion patterns.…

社会与信息网络 · 计算机科学 2026-03-24 Isaac Slaughter , Axel Peytavin , Johan Ugander , Martin Saveski

The paper citation network is a traditional social medium for the exchange of ideas and knowledge. In this paper we view citation networks from the perspective of information diffusion. We study the structural features of the information…

数字图书馆 · 计算机科学 2009-05-19 Xiaolin Shi , Belle Tseng , Lada A. Adamic

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…

社会与信息网络 · 计算机科学 2018-12-11 Maria Glenski , Tim Weninger , Svitlana Volkova

We present a systematic and detailed study of the robustness of directed networks under random and targeted removal of links. We work with a set of network models of random and scale free type, generated with specific features of clustering…

物理与社会 · 物理学 2018-10-17 G. Kashyap , G. Ambika

Widely distributed misinformation shared across social media channels is a pressing issue that poses a significant threat to many aspects of society's well-being. Inaccurate shared information causes confusion, can adversely affect mental…

社会与信息网络 · 计算机科学 2024-09-27 Juanita Zainudin , Nazlena Mohamad Ali , Alan F. Smeaton , Mohamad Taha Ijab

For many people, social media is an important way to consume news on important topics like health. Unfortunately, some influential health news is misinformation because it is based on retracted scientific work. Ours is the first work to…

人机交互 · 计算机科学 2023-09-06 Waheeb Yaqub , Judy Kay , Micah Goldwater

One major feature of social networks (e.g., massive online social networks) is the dissemination of information, such as news, rumors and opinions. Information can be propagated via natural connections in written, oral or electronic forms.…

社会与信息网络 · 计算机科学 2016-03-30 Nima Heidari

The proliferation of false information in the digital age has become a pressing concern, necessitating the development of effective and robust detection methods. This paper offers a comprehensive review of existing false information…

社会与信息网络 · 计算机科学 2025-06-24 Kun Xie , Sibo Wang

Large Language Models (LLMs) have garnered significant attention for their powerful ability in natural language understanding and reasoning. In this paper, we present a comprehensive empirical study to explore the performance of LLMs on…

计算与语言 · 计算机科学 2024-12-30 Mengyang Chen , Lingwei Wei , Han Cao , Wei Zhou , Songlin Hu

Social network has gained remarkable attention in the last decade. Accessing social network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the web 2.0 technologies has become more affordable. People are…

社会与信息网络 · 计算机科学 2023-06-22 Mariam Adedoyin-Olowe , Mohamed Medhat Gaber , Frederic Stahl

The rise of social media has enabled the widespread propagation of fake news, text that is published with an intent to spread misinformation and sway beliefs. Rapidly detecting fake news, especially as new events arise, is important to…

计算与语言 · 计算机科学 2023-09-27 Nikhil Mehta , Dan Goldwasser

Patterns of event propagation in online social networks provide novel insights on the modeling and analysis of information dissemination over networks and physical systems. This paper studies the importance of follower links for event…

社会与信息网络 · 计算机科学 2018-07-20 Pin-Yu Chen , Chun-Chen Tu , Pai-Shun Ting , Ya-Yun Lo , Danai Koutra , Alfred O. Hero

Social connections are conduits through which individuals communicate, information propagates, and diseases spread. Identifying individuals who are more likely to adopt ideas and spread them is essential in order to develop effective…

社会与信息网络 · 计算机科学 2024-10-31 Vedran Sekara , Ivan Dotu , Manuel Cebrian , Esteban Moro , Manuel Garcia-Herranz