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47
University of Tehran at RepLab 2014
"... Abstract. In this paper, we present our approach to author ranking subtask; which is a part of author-profiling task in RepLab 2014. In this subtask, systems are expected to detect influential authors and opinion makers on Twitter web-site. The systems ’ output, for a given domain, must be a ranked ..."
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list of authors according to their probability of being an influential author or opinion maker. Our system utilizes a Time-sensitive Voting algorithm, which is based on the hypothesis that influential authors tweet actively about topics of their interest. In this method, hot topics of each domain
Social and Behavioral Sciences
"... 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 to find in ..."
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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 to find
An Effective Tool for Recommending Opinion Leaders in Social Networking Service
"... Abstract — In this paper, we propose and present a practical tool for social networking services that can be used to help users find the opinion leaders or influential users in a certain community. This tool can act as a front-end to existing social networking services such as Twitter and gives a li ..."
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Abstract — In this paper, we propose and present a practical tool for social networking services that can be used to help users find the opinion leaders or influential users in a certain community. This tool can act as a front-end to existing social networking services such as Twitter and gives a
Topical Authority Propagation on Microblogs
"... ABSTRACT With a huge number of active users on microblogs, it becomes increasingly important to identify authoritative users on specific topics. This paper tackles the task of finding authorities on Twitter given any query topic. Although there exists much work on identifying influential users on T ..."
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ABSTRACT With a huge number of active users on microblogs, it becomes increasingly important to identify authoritative users on specific topics. This paper tackles the task of finding authorities on Twitter given any query topic. Although there exists much work on identifying influential users
FOR THE DEGREE OF
, 2014
"... ii Twitter is a powerful social media tool to share information on different topics around the world. Following different users/accounts is the most effective way to get information propagated in Twitter. Due to Twitter's limited searching and lack of navigation support, searching Twitter is no ..."
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is not easy and requires effort to find reliable information. This thesis proposed a new methodology to rank tweets based on their authority with the goal of aiding users identifying influential Twitterers. This methodology, HIRKM rank, is influenced by PageRank, Alexa Rank, original tweet or a retweet
Detecting community kernels in large social networks
- In ICDM’11. 784–793
, 2011
"... Abstract—In many social networks, there exist two types of users that exhibit different influence and different behavior. For instance, statistics have shown that less than 1 % of the Twitter users (e.g. entertainers, politicians, writers) produce 50 % of its content [1], while the others (e.g. fans ..."
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Cited by 8 (2 self)
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Abstract—In many social networks, there exist two types of users that exhibit different influence and different behavior. For instance, statistics have shown that less than 1 % of the Twitter users (e.g. entertainers, politicians, writers) produce 50 % of its content [1], while the others (e
CASE STUDY ON LIVE STREAMING SOCIAL MEDIA DATA INTO SAP HANA PERFORM TEXT ANALYSIS AND CLUSTERING
"... Abstract — The main objective of this project is to feed the real-time data feeds from social media (twitter) and this data then can be used to perform the text analytics for sentiment analysis and as well as perform Segmentation using SAP HANA clustering. In this case study I am going to focus on h ..."
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Abstract — The main objective of this project is to feed the real-time data feeds from social media (twitter) and this data then can be used to perform the text analytics for sentiment analysis and as well as perform Segmentation using SAP HANA clustering. In this case study I am going to focus
Predicting Information Credibility in Time-Sensitive Social Media
, 2012
"... Purpose- Twitter is a popular microblogging service which has proven, in recent years, its potential for propagating news and information about developing events. In this work, we focus on the analysis of information credibility on Twitter. The purpose of our research is to establish if an automatic ..."
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“trends ” in English, and second, we test how well this model transfers to Twitter topics in Spanish, automatically detected during a natural disaster. Findings- There are measurable differences in the way microblog messages propagate. We show that these differences are related to the newsworthiness
An application of UTAUT model for acceptance of social media in Egypt: a statistical study
- International Journal of Information Science
, 2012
"... Abstract Digital Social Media are now a part of daily hu man activities, and have opened a new era of informal communicat ions in both private and public sectors. Platforms such as Facebook, twitter, YouTube and others, influence the spread of information mo re quickly and easily. Th is study inves ..."
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Cited by 1 (0 self)
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with behavioral intention so they accepted Facebook as influential factor. Also the research finds age and gender do not impact on performance expectancy and even experience has impacted on effort expectancy. Additional the experience factor affects social influence. Furthermore, o lder people have neither got
Ubiquitous Search Engine
"... Ubiquitous Search engine is a non-conventional search engine. It is built with an intended function of finding the most influential node in a network or given data set. The objective is to find centers of influence in social networks. It can be used as a tool for data mining and analyzing it further ..."
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Ubiquitous Search engine is a non-conventional search engine. It is built with an intended function of finding the most influential node in a network or given data set. The objective is to find centers of influence in social networks. It can be used as a tool for data mining and analyzing
Results 21 - 30
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