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Related papers: Measuring user influence on Twitter: A survey

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Online social media such as Twitter, Facebook, Wikis and Linkedin have made a great impact on the way we consume information in our day to day life. Now it has become increasingly important that we come across appropriate content from the…

Social and Information Networks · Computer Science 2015-08-17 Anusha A. , Sanjay Singh

Micro-blogging services such as Twitter allow anyone to publish anything, anytime. Needless to say, many of the available contents can be diminished as babble or spam. However, given the number and diversity of users, some valuable pieces…

Information Retrieval · Computer Science 2013-09-16 Daniel Gayo-Avello

Twitter is one of the most popular social media platforms.With a large number of tweets, the activity feed of users becomes noisy, challenging to read, and most importantly tweets often get lost. We present a new approach to personalise the…

Human-Computer Interaction · Computer Science 2025-09-05 Gautam Khannaa , Yeliz Yesilada , Sukru Eraslan , Simon Harper

In recent years, people spend a lot of time on social networks. They use social networks as a place to comment on personal or public events. Thus, a large amount of information is generated and shared daily in these networks. Using such a…

Social and Information Networks · Computer Science 2020-10-05 Parinaz Rahimizadeh , Mohammad Javad Shayegan

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

Much work in Social Network Analysis has focused on the identification of the most important actors in a social network. This has resulted in several measures of influence and authority. While most of such sociometrics (e.g., PageRank) are…

Social and Information Networks · Computer Science 2011-08-25 Karthik Subbian , Prem Melville

As social networks are constantly changing and evolving, methods to analyze dynamic social networks are becoming more important in understanding social trends. However, due to the restrictions imposed by the social network service…

Social and Information Networks · Computer Science 2018-01-09 Kaan Bingöl , Bahaeddin Eravcı , Çağrı Özgenç Etemoğlu , Hakan Ferhatosmanoğlu , Buğra Gedik

Many studies on coauthorship networks focus on network topology and network statistical mechanics. This article takes a different approach by studying micro-level network properties, with the aim to apply centrality measures to impact…

Digital Libraries · Computer Science 2010-12-23 Erjia Yan , Ying Ding

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

Nowadays, people from all around the world use social media sites to share information. Twitter for example is a platform in which users send, read posts known as tweets and interact with different communities. Users share their daily…

Computation and Language · Computer Science 2020-07-14 Antony Samuels , John Mcgonical

In the context of Twitter, social capitalists are specific users trying to increase their number of followers and interactions by any means. These users are not healthy for the Twitter network since they flaw notions of influence and…

Social and Information Networks · Computer Science 2014-10-22 Vincent Labatut , Nicolas Dugué , Anthony Perez

Graph centrality measures use the structure of a network to quantify central or "important" nodes, with applications in web search, social media analysis, and graphical data mining generally. Traditional centrality measures such as the well…

Social and Information Networks · Computer Science 2021-01-20 Liang Lyu , Brandon Fain , Kamesh Munagala , Kangning Wang

Influential users have great potential for accelerating information dissemination and acquisition on Twitter. How to measure the influence of Twitter users has attracted significant academic and industrial attention. Existing influential…

Social and Information Networks · Computer Science 2016-11-17 Jinxue Zhang , Rui Zhang , Jingchao Sun , Yanchao Zhang , Chi Zhang

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

Nowadays, Social Networks have become an essential communication tools producing a large amount of information about their users and their interactions, which can be analysed with Data Mining methods. In the last years, Social Networks are…

Social and Information Networks · Computer Science 2025-01-29 Raul Lara-Cabrera , Antonio Gonzalez-Pardo , David Camacho

Social media platforms contain a great wealth of information which provides opportunities for us to explore hidden patterns or unknown correlations, and understand people's satisfaction with what they are discussing. As one showcase, in…

Information Retrieval · Computer Science 2017-05-24 Zhengkui Wang , Guangdong Bai , Soumyadeb Chowdhury , Quanqing Xu , Zhi Lin Seow

In the Twitter blogosphere, the number of followers is probably the most basic and succinct quantity for measuring popularity of users. However, the number of followers can be manipulated in various ways; we can even buy follows. Therefore,…

Social and Information Networks · Computer Science 2014-01-16 Kodai Saito , Naoki Masuda

In the context of Twitter, social capitalists are specific users trying to increase their number of followers and interactions by any means. These users are not healthy for the service, because they are either spammers or real users flawing…

Social and Information Networks · Computer Science 2015-06-16 Nicolas Dugué , Vincent Labatut , Anthony Perez

The fundamental building block of social influence is for one person to elicit a response in another. Researchers measuring a "response" in social media typically depend either on detailed models of human behavior or on platform-specific…

Social and Information Networks · Computer Science 2013-02-19 Greg Ver Steeg , Aram Galstyan

How does one find important or influential people in an online social network? Researchers have proposed a variety of centrality measures to identify individuals that are, for example, often visited by a random walk, infected in an…

Social and Information Networks · Computer Science 2013-03-20 Kristina Lerman , Prachi Jain , Rumi Ghosh , Jeon-Hyung Kang , Ponnurangam Kumaraguru