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Identifying influencers in a given social network has become an important research problem for various applications, including accelerating the spread of information in viral marketing and preventing the spread of fake news and rumors. The…

Social and Information Networks · Computer Science 2025-01-24 Sho Tsugawa , Kohei Watabe

As influencers play considerable roles in social media marketing, companies increase the budget for influencer marketing. Hiring effective influencers is crucial in social influencer marketing, but it is challenging to find the right…

Social and Information Networks · Computer Science 2023-04-14 Seungbae Kim , Jyun-Yu Jiang , Jinyoung Han , Wei Wang

Many works related to Twitter aim at characterizing its users in some way: role on the service (spammers, bots, organizations, etc.), nature of the user (socio-professional category, age, etc.), topics of interest , and others. However, for…

Computation and Language · Computer Science 2016-08-01 Jean-Valère Cossu , Vincent Labatut , Nicolas Dugué

With the growing popularity of online social media, identifying influential users in these social networks has become very popular. Existing works have studied user attributes, network structure and user interactions when measuring user…

Social and Information Networks · Computer Science 2022-03-24 Xingjun Ma , Chunping Li , James Bailey , Sudanthi Wijewickrema

Since the advent of the internet, communication paradigms have continuously evolved, resulting in a present-day landscape where the dynamics of information dissemination have undergone a complete transformation compared to the past. In this…

The ever-increasing amount of information flowing through Social Media forces the members of these networks to compete for attention and influence by relying on other people to spread their message. A large study of information propagation…

Computers and Society · Computer Science 2010-08-09 Daniel M. Romero , Wojciech Galuba , Sitaram Asur , Bernardo A. Huberman

Influencer marketing involves a wide range of strategies in which brands collaborate with popular content creators (i.e., influencers) to leverage their reach, trust, and impact on their audience to promote and endorse products or services.…

Computation and Language · Computer Science 2023-09-07 Danae Sánchez Villegas , Catalina Goanta , Nikolaos Aletras

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 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 world's digital information ecosystem continues to struggle with the spread of misinformation. Prior work has suggested that users who consistently disseminate a disproportionate amount of low-credibility content -- so-called…

Social and Information Networks · Computer Science 2024-02-01 Matthew R. DeVerna , Rachith Aiyappa , Diogo Pacheco , John Bryden , Filippo Menczer

In social and online media, influencers have traditionally been understood as highly visible individuals. Recent outcomes suggest that people are likely to mimic influencers' behavior, which can be exploited, for instance, in marketing…

Social and Information Networks · Computer Science 2020-06-02 Enrica Loria , Johanna Pirker , Anders Drachen , Annapaola Marconi

Influential nodes in complex networks are typically defined as those nodes that maximize the asymptotic reach of a spreading process of interest. However, for practical applications such as viral marketing and online information spreading,…

Social and Information Networks · Computer Science 2019-03-18 Fang Zhou , Linyuan Lü , Manuel Sebastian Mariani

A pivotal idea in network science, marketing research and innovation diffusion theories is that a small group of nodes -- called influencers -- have the largest impact on social contagion and epidemic processes in networks. Despite the…

Physics and Society · Physics 2018-12-12 Flavio Iannelli , Manuel Sebastian Mariani , Igor M. Sokolov

A number of predictors have been suggested to detect the most influential spreaders of information in online social media across various domains such as Twitter or Facebook. In particular, degree, PageRank, k-core and other centralities…

Physics and Society · Physics 2014-08-12 Sen Pei , Lev Muchnik , Jose S. Andrade , Zhiming Zheng , Hernan A. Makse

Who are the influential people in an online social network? The answer to this question depends not only on the structure of the network, but also on details of the dynamic processes occurring on it. We classify these processes as…

Computers and Society · Computer Science 2010-05-27 Rumi Ghosh , Kristina Lerman

In a diversified context with multiple social networking sites, heterogeneous activity patterns and different user-user relations, the concept of "information cascade" is all but univocal. Despite the fact that such information cascades can…

Physics and Society · Physics 2013-03-20 Raquel A Baños , Javier Borge-Holthoefer , Yamir Moreno

In the last decade, Social Media platforms such as Twitter have gained importance in the various marketing strategies of companies. This work aims to examine the presence of influential content on a textual level, by investigating…

Social and Information Networks · Computer Science 2022-02-17 Diana C. Hernandez-Bocanegra , Angela Borchert , Felix Brünker , Gautam Kishore Shahi , Björn Ross

Influence propagation in social networks is a subject of growing interest. A relevant issue in those networks involves the identification of key influencers. These players have an important role on viral marketing strategies and message…

Social and Information Networks · Computer Science 2021-02-05 Pedro Martins , Filipa Alarcão Martins

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

Online Social Media represent a pervasive source of information able to reach a huge audience. Sadly, recent studies show how online social bots (automated, often malicious accounts, populating social networks and mimicking genuine users)…

Social and Information Networks · Computer Science 2019-09-10 Alessandro Balestrucci , Rocco De Nicola , Marinella Petrocchi , Catia Trubiani
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