Finding influential users of online health communities: a new metric based on sentiment influence
TLDR
Using the dataset from a popular OHC, the research demonstrated that the proposed metric is highly effective in identifying influential users and combining the metric with other traditional measures further improves the identification of influential users.About:
This article is published in Journal of the American Medical Informatics Association.The article was published on 2014-10-01 and is currently open access. It has received 106 citations till now. The article focuses on the topics: Sentiment analysis & Online health communities.read more
Citations
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Measuring user influence on Twitter
TL;DR: The purpose of this article is to collect and classify the different Twitter influence measures that exist so far in literature, which are very diverse and based on simple metrics provided by the Twitter API, while others are based on complex mathematical models.
Journal ArticleDOI
Rumor Gauge: Predicting the Veracity of Rumors on Twitter
TL;DR: The ability to track rumors and predict their outcomes may have practical applications for news consumers, financial markets, journalists, and emergency services, and more generally to help minimize the impact of false information on Twitter.
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Analyzing and Predicting User Participations in Online Health Communities: A Social Support Perspective.
Xi Wang,Kang Zhao,Nick Street +2 more
TL;DR: This study analyzes OHC users’ Web-based interactions to reveal which types of social support activities are related to users' participation, and develops a predictive model for user churn.
Dissertation
Automatic detection and verification of rumors on Twitter
TL;DR: The ability to track rumors and predict their outcomes may have practical applications for news consumers, financial markets, journalists, and emergency services, and more generally to help minimize the impact of false information on Twitter.
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Analysis of Online Social Network Connections for Identification of Influential Users: Survey and Open Research Issues
Mohammed Ali Al-Garadi,Kasturi Dewi Varathan,Sri Devi Ravana,Ejaz Ahmed,Ghulam Mujtaba,Muhammad Usman Shahid Khan,Samee U. Khan +6 more
TL;DR: A detailed survey of influential users’ identification algorithms and their performance evaluation approaches in OSNs is presented, covering recent techniques, applications, and open research issues on analysis of OSN connections for identification of influential Users.
References
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Yoav Freund,Robert E. Schapire +1 more
TL;DR: The model studied can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting, and it is shown that the multiplicative weight-update Littlestone?Warmuth rule can be adapted to this model, yielding bounds that are slightly weaker in some cases, but applicable to a considerably more general class of learning problems.
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The anatomy of a large-scale hypertextual Web search engine
Sergey Brin,Lawrence Page +1 more
TL;DR: This paper provides an in-depth description of Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and looks at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.
Journal Article
The Anatomy of a Large-Scale Hypertextual Web Search Engine.
Sergey Brin,Lawrence Page +1 more
TL;DR: Google as discussed by the authors is a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems.