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Twitterrank: finding topic-sensitive influential twitterers

by Jianshu Weng, Ee-peng Lim, Jing Jiang, Qi He - IN IN PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING , 2010
"... This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networking model called “following”, in which each user can choose who she wants to “follow” to receive tweets from without requir ..."
Abstract - Cited by 285 (12 self) - Add to MetaCart
This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networking model called “following”, in which each user can choose who she wants to “follow” to receive tweets from without

Measuring user influence in Twitter: The million follower fallacy

by Meeyoung Cha, Hamed Haddadi, Fabrício Benevenuto, Krishna P. Gummadi - in ICWSM ’10: Proceedings of international AAAI Conference on Weblogs and Social , 2010
"... Directed links in social media could represent anything from intimate friendships to common interests, or even a passion for breaking news or celebrity gossip. Such directed links determine the flow of information and hence indicate a user’s influence on others—a concept that is crucial in sociology ..."
Abstract - Cited by 401 (24 self) - Add to MetaCart
in sociology and viral marketing. In this paper, using a large amount of data collected from Twitter, we present an in-depth comparison of three measures of influence: indegree, retweets, and mentions. Based on these measures, we investigate the dynamics of user influence across topics and time. We make

In the Mood for Being Influential on Twitter

by Daniele Quercia, Jonathan Ellis, Licia Capra, Jon Crowcroft
"... Abstract—Researchers have widely studied how information diffuses in Twitter and have often done so by modeling the social-networking site as a communication graph in which tweets spread depending on its nodes ’ graph properties (e.g., degree, centrality). The resulting models are tractable but make ..."
Abstract - Cited by 9 (1 self) - Add to MetaCart
ways, and that influential users tend to be individuals who express negative sentiment in part of their tweets. These findings suggest that the popularity and influence of a Twitter account cannot be simply traced back to the graph properties of the network within which it is embedded, but also depends

Everyone’s an influencer: quantifying influence on twitter

by Eytan Bakshy, Winter A. Mason, Duncan J. Watts - in Proceedings of the fourth ACM international conference on Web search and data mining
"... In this paper we investigate the attributes and relative influence of 1.6M Twitter users by tracking 74 million diffusion events that took place on the Twitter follower graph over a two month interval in 2009. Unsurprisingly, we find that the largest cascades tend to be generated by users who have b ..."
Abstract - Cited by 211 (5 self) - Add to MetaCart
In this paper we investigate the attributes and relative influence of 1.6M Twitter users by tracking 74 million diffusion events that took place on the Twitter follower graph over a two month interval in 2009. Unsurprisingly, we find that the largest cascades tend to be generated by users who have

Finding Influential Neighbors to Maximize Information Diffusion in Twitter

by Hyoungshick Kim, Konstantin Beznosov, Eiko Yoneki
"... The problem of spreading information is a topic of consid-erable recent interest, but the traditional influence maxi-mization problem is inadequate for a typical viral marketer who cannot access the entire network topology. To fix this flawed assumption that the marketer can control any arbi-trary k ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
The problem of spreading information is a topic of consid-erable recent interest, but the traditional influence maxi-mization problem is inadequate for a typical viral marketer who cannot access the entire network topology. To fix this flawed assumption that the marketer can control any arbi

To Find Influential’s in Twitter based on Information Propagation

by Md Tabrez Nafis, Alok K Pathak, Science Jamia Hamdard, Hamdard Nagar
"... Identification of Influencers in Social Networks and targeting them for viral marketing is fast becoming the core idea in designing the strategies for brand building. The influential individuals stimulate “word-of-mouth ” effects in their network[14]. This leads to triggering of long cascades of inf ..."
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Identification of Influencers in Social Networks and targeting them for viral marketing is fast becoming the core idea in designing the strategies for brand building. The influential individuals stimulate “word-of-mouth ” effects in their network[14]. This leads to triggering of long cascades

Finding influentials based on the temporal order of information adoption in twitter. In: WWW

by Changhyun Lee , Haewoon Kwak , Hosung Park , Sue Moon , 2010
"... ABSTRACT Twitter offers an explicit mechanism to facilitate information diffusion and has emerged as a new medium for communication. Many approaches to find influentials have been proposed, but they do not consider the temporal order of information adoption. In this work, we propose a novel method ..."
Abstract - Cited by 19 (0 self) - Add to MetaCart
ABSTRACT Twitter offers an explicit mechanism to facilitate information diffusion and has emerged as a new medium for communication. Many approaches to find influentials have been proposed, but they do not consider the temporal order of information adoption. In this work, we propose a novel method

A Model For Predicting Influential Users In Social Network

by Sriganga B K, Ragini Krishna, Dr. Prashanth
"... Abstract — In the recent past and in the envisaged future of global business scenario, social networking platform such as: Face book, Twitter, Google plus +, LinkedIn, Orkut etc are visioned to get information, opinions, likes and dislikes, profile matching etc. These inputs are very essential param ..."
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in nature as it evolves over period of time by adding or deleting nodes and edges. The study of influential members in a social network is an important research question in social network analysis. In order to find the most influential person, the most central node has to be identified. Centrality

Our twitter profiles, our selves: Predicting personality with twitter. Privacy, security, risk and trust (passat), 2011 ieee third international conference on and 2011 ieee third international conference on social computing (socialcom

by Daniele Quercia, Michal Kosinski, David Stillwell, Jon Crowcroft , 2011
"... Abstract—Psychological personality has been shown to affect a variety of aspects: preferences for interaction styles in the digital world and for music genres, for example. Consequently, the design of personalized user interfaces and music recommender systems might benefit from understanding the rel ..."
Abstract - Cited by 45 (5 self) - Add to MetaCart
the relationship between personality and use of social media. Since there has not been a study between personality and use of Twitter at large, we set out to analyze the relationship between personality and different types of Twitter users, including popular users and influentials. For 335 users, we gather

TRank: ranking Twitter users according to specific topics

by Manuela Montangero , Marco Furini
"... Abstract-Twitter is the most popular real-time microblogging service and it is a platform where users provide and obtain information at rapid pace. In this scenario, one of the biggest challenge is to find a way to automatically identify the most influential users of a given topic. Currently, there ..."
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Abstract-Twitter is the most popular real-time microblogging service and it is a platform where users provide and obtain information at rapid pace. In this scenario, one of the biggest challenge is to find a way to automatically identify the most influential users of a given topic. Currently
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