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Understanding the dynamics of social interactions is crucial to comprehend human behavior. The emergence of online social media has enabled access to data regarding people relationships at a large scale. Twitter, specifically, is an…

物理与社会 · 物理学 2022-09-07 Felipe Maciel Cardoso , Sandro Meloni , Andre Santanche , Yamir Moreno

The daily exposure of social media users to propaganda and disinformation campaigns has reinvigorated the need to investigate the local and global patterns of diffusion of different (mis)information content on social media. Echo chambers…

社会与信息网络 · 计算机科学 2020-09-24 Stefano Guarino , Noemi Trino , Alessandro Celestini , Alessandro Chessa , Gianni Riotta

Mapping the Internet generally consists in sampling the network from a limited set of sources by using "traceroute"-like probes. This methodology, akin to the merging of different spanning trees to a set of destinations, has been argued to…

Respondent driven sampling (RDS) is a method often used to estimate population properties (e.g. sexual risk behavior) in hard-to-reach populations. It combines an effective modified snowball sampling methodology with an estimation procedure…

统计方法学 · 统计学 2013-08-19 Jens Malmros , Naoki Masuda , Tom Britton

Online health communities offer the promise of support benefits to users, in particular because these communities enable users to find peers with similar experiences. Building mutually supportive connections between peers is a key…

Social information is particularly prominent in digital settings where the design of platforms can more easily give real-time information about the behaviour of peers and reference groups and thereby stimulate political activity. Changes to…

物理与社会 · 物理学 2023-01-05 Scott A. Hale , Peter John , Helen Margetts , Taha Yasseri

The massive amounts of data that social media generates has facilitated the study of online human behavior on a scale unimaginable a few years ago. At the same time, the much discussed apparent randomness with which people interact online…

计算机与社会 · 计算机科学 2012-07-23 Chunyan Wang , Bernardo A. Huberman

Temporal social networks of human interactions are preponderant in understanding the fundamental patterns of human behavior. In these networks, interactions occur locally between individuals (i.e., nodes) who connect with each other at…

物理与社会 · 物理学 2022-10-11 Shaunette T. Ferguson , Teruyoshi Kobayashi

Social Search research deals with studying methodologies exploiting social information to better satisfy user information needs in Online Social Media while simplifying the search effort and consequently reducing the time spent and the…

社会与信息网络 · 计算机科学 2023-09-14 Maddalena Amendola , Andrea Passarella , Raffaele Perego

This research paper conducts a survey of the various government organizations that are using Web 2.0 to enhance their functionality, interact with potential audience and to reach out to a huge customer base. The aim of the paper is to study…

计算机与社会 · 计算机科学 2014-06-23 Monica Prajapati , Anuj Sharma

Scholars, advertisers and political activists see massive online social networks as a representation of social interactions that can be used to study the propagation of ideas, social bond dynamics and viral marketing, among others. But the…

计算机与社会 · 计算机科学 2008-12-09 Bernardo A. Huberman , Daniel M. Romero , Fang Wu

Recent studies reveal widespread concern and increasing lack of understanding about how personal data is collected, shared, and used online without consent. This issue is compounded by limited options available for digital citizens to…

计算机与社会 · 计算机科学 2025-03-10 Niels J. Gommesen

Network sampling is used around the world for surveys of vulnerable, hard-to-reach populations including people at risk for HIV, opioid misuse, and emerging epidemics. The sampling methods include tracing social links to add new people to…

统计方法学 · 统计学 2020-02-05 Steve Thompson

The ongoing debate surrounding the impact of the Internet Research Agency s (IRA) social media campaign during the 2016 U.S. presidential election has largely overshadowed the involvement of other actors. Our analysis brings to light a…

社会与信息网络 · 计算机科学 2024-03-14 Matteo Serafino , Zhenkun Zhou , Jose S. Andrade, , Alexandre Bovet , Hernan A. Makse

In the social sciences, there is a longstanding tension between data collection methods that facilitate quantification and those that are open to unanticipated information. Advances in technology now enable new, hybrid methods that combine…

应用统计 · 统计学 2014-10-03 Matthew J. Salganik , Karen E. C. Levy

Researchers have used social media data to estimate various macroeconomic indicators about public behaviors, mostly as a way to reduce surveying costs. One of the most widely cited economic indicator is consumer confidence index (CCI).…

社会与信息网络 · 计算机科学 2021-11-29 Neeti Pokhriyal , Abenezer Dara , Benjamin Valentino , Soroush Vosoughi

The rapid diffusion of "microblogging" services such as Twitter is ushering in a new era of possibilities for organizations to communicate with and engage their core stakeholders and the general public. To enhance understanding of the…

计算机与社会 · 计算机科学 2012-04-17 Kristen Lovejoy , Gregory D. Saxton

Understanding the social and behavioral forces behind event participation is not only interesting from the viewpoint of social science, but also has important applications in the design of personalized event recommender systems. This paper…

社会与信息网络 · 计算机科学 2014-04-01 Petko Georgiev , Anastasios Noulas , Cecilia Mascolo

Abuse on the Internet is an important societal problem of our time. Millions of Internet users face harassment, racism, personal attacks, and other types of abuse across various platforms. The psychological effects of abuse on individuals…

计算与语言 · 计算机科学 2021-04-15 Pushkar Mishra , Helen Yannakoudakis , Ekaterina Shutova

The proliferation of misinformation on social media has concerning possible consequences, such as the degradation of democratic norms. While recent research on countering misinformation has largely focused on analyzing the effectiveness of…

计算机与社会 · 计算机科学 2025-09-01 Catherine King , Samantha C. Phillips , Kathleen M. Carley