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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

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

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

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

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

Like other social systems, in collaborative filtering a small number of "influential" users may have a large impact on the recommendations of other users, thus affecting the overall behavior of the system. Identifying influential users and…

Social and Information Networks · Computer Science 2019-05-21 Farzad Eskandanian , Nasim Sonboli , Bamshad Mobasher

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

Influential users play an important role in online social networks since users tend to have an impact on one other. Therefore, the proposed work analyzes users and their behavior in order to identify influential users and predict user…

Social and Information Networks · Computer Science 2016-05-11 Fredrik Erlandsson , Piotr Bródka , Anton Borg , Henric Johnson

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

Blog management is central to the digitalization of work. However, existing theories tend to focus on environmental influence rather than managerial control of a blogs attractiveness at a microlevel. This study provides an agentive account…

Social and Information Networks · Computer Science 2020-07-01 Carlos Denner dos Santos , Isadora Castro , George Kuk , Silvia Onoyama , Marina Moreira

The dynamics of individuals is of essential importance for understanding the evolution of social systems. Most existing models assume that individuals in diverse systems, ranging from social networks to e-commerce, all tend to what is…

Physics and Society · Physics 2017-02-22 Matus Medo , Manuel S. Mariani , An Zeng , Yi-Cheng Zhang

The influence maximization is the problem of finding a set of social network users, called influencers, that can trigger a large cascade of propagation. Influencers are very beneficial to make a marketing campaign goes viral through social…

Social and Information Networks · Computer Science 2017-08-29 Siwar Jendoubi , Arnaud Martin

In this paper we analyze influence in the blogosphere. Recently, influence analysis has become an increasingly important research topic, as online communities, such as social networks and e-commerce sites, playing a more and more…

Social and Information Networks · Computer Science 2012-12-27 Michinari Momma , Yun Chi , Yuanqing Lin , Shenghuo Zhu , Tianbao Yang

The 2004 US Presidential Election cycle marked the debut of Internet-based media such as blogs and social networking websites as institutionally recognized features of the American political landscape. Using a longitudinal sample of all…

Social and Information Networks · Computer Science 2011-10-19 Zack W. Almquist , Carter T. Butts

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

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

Predicting when an individual will adopt a new behavior is an important problem in application domains such as marketing and public health. This paper examines the perfor- mance of a wide variety of social network based measurements…

Social and Information Networks · Computer Science 2016-07-26 Nikhil Kumar , Ruocheng Guo , Ashkan Aleali , Paulo Shakarian

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

In Twitter, and other microblogging services, the generation of new content by the crowd is often biased towards immediacy: what is happening now. Prompted by the propagation of commentary and information through multiple mediums, users on…

Information Retrieval · Computer Science 2016-02-10 Flávio Martins , João Magalhães , Jamie Callan

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
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