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Influencers are key to the nature and networks of information propagation on social media. Influencers are particularly important in political discourse through their engagement with issues, and may derive their legitimacy either solely or…

Social and Information Networks · Computer Science 2021-09-17 Saloni Dash , Dibyendu Mishra , Gazal Shekhawat , Joyojeet Pal

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

Dangerous speech on social media platforms can be framed as blatantly inflammatory, or be couched in innuendo. It is also centrally tied to who engages it - it can be driven by openly sectarian social media accounts, or through subtle…

Social and Information Networks · Computer Science 2021-11-09 Saloni Dash , Rynaa Grover , Gazal Shekhawat , Sukhnidh Kaur , Dibyendu Mishra , Joyojeet Pal

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

Centrality is one of the most studied concepts in social network analysis. There is a huge literature regarding centrality measures, as ways to identify the most relevant users in a social network. The challenge is to find measures that can…

Social and Information Networks · Computer Science 2016-04-26 Fabián Riquelme , Pablo González-Cantergiani

We describe a methodology of rating the influence of a Twitter ac-count in this famous microblogging service. We then evaluate it over real ac-counts, under the belief that influence is not only a matter of quantity (amount of followers),…

Social and Information Networks · Computer Science 2014-04-22 Gerasimos Razis , Ioannis Anagnostopoulos

Data extracted from social media platforms, such as Twitter, are both large in scale and complex in nature, since they contain both unstructured text, as well as structured data, such as time stamps and interactions between users. A key…

Social and Information Networks · Computer Science 2014-11-17 Donggeng Xia , Shawn Mankad , George Michailidis

In this paper, we investigate the issue of detecting the real-life influence of people based on their Twitter account. We propose an overview of common Twitter features used to characterize such accounts and their activity, and show that…

Social and Information Networks · Computer Science 2021-08-06 Jean-Val{è}re Cossu , Nicolas Dugu{é} , Vincent Labatut

Influencers play a crucial role in shaping public narratives through information creation and diffusion in the Global South. While public figures from various walks of life and their impact on public discourse have been studied, defence…

Social and Information Networks · Computer Science 2022-04-11 Agrima Seth , Soham De , Arshia Arya , Steven Wilkinson , Sushant Singh , Joyojeet Pal

Social networking and micro-blogging services, such as Twitter, play an important role in sharing digital information. Despite the popularity and usefulness of social media, there have been many instances where corrupted users found ways to…

Social and Information Networks · Computer Science 2021-07-23 Tanveer Khan , Antonis Michalas

People use microblogging platforms like Twitter to involve with other users for a wide range of interests and practices. Twitter profiles run by different types of users such as humans, bots, spammers, businesses and professionals. This…

Social and Information Networks · Computer Science 2014-06-06 Muhammad Moeen Uddin , Muhammad Imran , Hassan Sajjad

Social networks have become an increasingly common abstraction to capture the interactions of individual users in a number of everyday activities and applications. As a result, the analysis of such networks has attracted lots of attention…

Social and Information Networks · Computer Science 2023-05-05 Ahmad Zareie , Rizos Sakellariou

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…

Social and Information Networks · Computer Science 2020-09-24 Stefano Guarino , Noemi Trino , Alessandro Celestini , Alessandro Chessa , Gianni Riotta

On social media platforms and Twitter in particular, specific classes of users such as influencers have been given satisfactory operational definitions in terms of network and content metrics. Others, for instance online activists, are not…

Information Retrieval · Computer Science 2019-03-19 Flavio Primo , Paolo Missier , Alexander Romanovsky , Mickael Figueredo , Nelio Cacho

Blogging is a popular way of expressing opinions and discussing topics. Bloggers demonstrate different levels of commitment and most interesting are influential bloggers. Around such bloggers, the groups are forming, which concentrate users…

Social and Information Networks · Computer Science 2015-05-27 Bogdan Gliwa , Anna Zygmunt

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

Influencing a target audience through social media content has become a new focus of interest for marketing leaders. While a large amount of heterogeneous data is produced by influencers on a daily basis, professionals in the influ-encer…

Social and Information Networks · Computer Science 2019-06-17 Anil Narassiguin , Selina Sargent

In our study, we first constructed a dataset from the tweets of the top 100 medical influencers with the highest Influencer Score during the COVID-19 pandemic. This dataset was then used to construct a socio-semantic network, mapping both…

Social and Information Networks · Computer Science 2024-08-01 Zhijin Guo , Edwin Simpson , Roberta Bernardi

In this new era of social media, social networks are becoming increasingly important sources of user-generated content on the internet. These kinds of information resources, which include a lot of people's feelings, opinions, feedback, and…

Computation and Language · Computer Science 2022-08-02 Immaculate Wanza , Irad Kamuti , David Gichohi , Kinyua Gikunda

For effective social media marketing, identifying stable influencers-those who sustain their influence over an extended period-is more valuable than focusing on users who are influential only temporarily. This study addresses the challenge…

Social and Information Networks · Computer Science 2025-12-22 Harutaka Yamada , Sho Tsugawa , Mitsuo Yoshida
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