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Discovering similar Twitter accounts using semantics [article]

Gerasimos Razis, Ioannis Anagnostopoulos
2015 arXiv   pre-print
Towards this direction, we introduce a methodology for discovering and suggesting similar Twitter accounts, based entirely on their disseminated content in terms of Twitter entities used.  ...  The more common entities are found in the messages of two different accounts, the more similar, in terms of content or interest, they tend to be.  ...  In Section 6 we evaluate and discuss the results of the case study, and we further evaluate our methodology against subjective ratings from 22 evaluators.  ... 
arXiv:1506.00100v1 fatcat:uk6kz7c42bhl5f6s7caakrhjhy

A framework for validating the merit of properties that predict the influence of a twitter user

Stefan Räbiger, Myra Spiliopoulou
2015 Expert systems with applications  
On this basis, we have created a ground truth dataset of Twitter users, upon which we study which properties characterize the influential ones.  ...  Our findings show that there are predictive properties associated with the activity level of users and their involvement in communities, but also that writing influential tweets is not a prerequisite for  ...  The remainder of this paper is structured as follows: in section 2 we discuss related work for detecting influentials in Twitter.  ... 
doi:10.1016/j.eswa.2014.11.006 fatcat:7fy2dhvpqjcjrnj7ow77srje4a

ProfileRank

Arlei Silva, Sara Guimarães, Wagner Meira, Mohammed Zaki
2013 Proceedings of the 7th Workshop on Social Network Mining and Analysis - SNAKDD '13  
In this paper, we study the problem of identifying influential users and relevant content in information diffusion data.  ...  A convenient property of ProfileRank is that it can be adapted to provide personalized recommendations.  ...  Furthermore, we have applied Profil-eRank in the identification of relevant content and influential users from Twitter and MemeTracker.  ... 
doi:10.1145/2501025.2501033 dblp:conf/kdd/SilvaGMZ13 fatcat:ysuymrspyzd6fpi4l6u4quysje

Semantifying Twitter: the influenceTracker ontology [article]

Gerasimos Razis, Ioannis Anagnostopoulos
2014 arXiv   pre-print
In this paper, we propose an ontology schema towards semantification provision of Twitter social analytics.  ...  The ontology is deployed over a publicly available service that measures how influential a Twitter account is, by combining its social activity and interaction over Twittersphere.  ...  Thus, in order to directly evaluate our metric, we randomly selected nearly 11.500 Twitter accounts and then we compared the ranking positions as well as the average ranking differences in all positions  ... 
arXiv:1409.3771v1 fatcat:sgcnsh6lazgfpnnasbl5baphtu

Analyzing the influential people in Sina Weibo dataset

Qing Liao, Wei Wang, Yi Han, Qian Zhang
2013 2013 IEEE Global Communications Conference (GLOBECOM)  
However, most of existing works focus on Twitter, which fail to consider this new operation.  ...  In paper, we propose a new influence measurement method called WeiboRank on Sina Weibo which applies comment-only operation to help researchers to find ignored influential users who have big influential  ...  of China under Grants No. 60933012 and 973 project 2013CB32900X.  ... 
doi:10.1109/glocom.2013.6831542 dblp:conf/globecom/LiaoWHZ13 fatcat:6a3dsn353reehjlsvuctdhcfdy

Identifying the Topic-Specific Influential Users in Twitter

May Shalaby, Ahmed Rafea
2018 International Journal of Computer Applications  
The objective of this research is to detect the influential users in a specific topic on Twitter.  ...  For evaluation we manually examined the users, looking at their tweets and profile page in order to decide on their influence.  ...  They proposed a preliminary model, using an initial set of intuitive properties supposedly possessed by an influential post, which allows for evaluating different key measures for identifying the influential  ... 
doi:10.5120/ijca2018916316 fatcat:xpagrndt3vab3m54ra4sa6e7ye

Modeling Influence with Semantics in Social Networks: a Survey [article]

Gerasimos Razis, Ioannis Anagnostopoulos, Sherali Zeadally
2018 arXiv   pre-print
The discovery of influential entities in all kinds of networks (e.g. social, digital, or computer) has always been an important field of study.  ...  In this work, we present a systematic review across i) online social influence metrics, properties, and applications and ii) the role of semantic in modeling OSNs information.  ...  A study that evaluates the quality of articles on Wikipedia by investigating their usage on Twitter is presented in [61] .  ... 
arXiv:1801.09961v3 fatcat:mnwvsphxgjdcvlu6vsn6g6pv5e

Detection of strong attractors in social media networks

Ziyaad Qasem, Marc Jansen, Tobias Hecking, H. Ulrich Hoppe
2016 Computational Social Networks  
One prominent aspect of such analytics is the characterization and detection of influential actors in social networks.  ...  In other words, an actor who has a high value in terms of this measure has been an important "target" node for the attraction of new members to Abstract Background: Detection of influential actors in social  ...  property (see [27, 28] ).  ... 
doi:10.1186/s40649-016-0036-9 pmid:29355206 pmcid:PMC5749172 fatcat:ojrukrd5xrfpbauxkln2tzfu4i

Quantifying Influence in Social Networks and News Media

Hong-Won Yun
2012 Journal of information and communication convergence engineering  
The number of followers in Twitter and the number of users exposed to news media are important factors in measuring influence.  ...  When the correlation between the number of followers in Twitter and the number of users exposed to the New York Times is computed, the result is moderately high.  ...  To investigate the correlation between influential twitterers who were also influential in the news media, we evaluated the correlation coefficient.  ... 
doi:10.6109/jicce.2012.10.2.135 fatcat:yto6jcyuznf5rahsicdidzy3km

Leveraging the Power of a Twitter Network for Library Promotion

Jason Shulman, Jewelry Yep, Daniel Tomé
2015 The journal of academic librarianship  
The Twitter network of two academic libraries was analyzed to determine the influential accounts that connect to them.  ...  Furthermore, the library, as an institutional account itself, is also influential to the broader Twitter community of its home institution.  ...  ACKNOWLEDGEMENTS This work is dedicated to the memory of Barry Alexander Moores.  ... 
doi:10.1016/j.acalib.2014.12.004 fatcat:qvflvirtqvaqpi3dmetw7ef7tq

Discovering Hidden Topical Hubs and Authorities in Online Social Networks [chapter]

Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim
2018 Proceedings of the 2018 SIAM International Conference on Data Mining  
We evaluate HAT against several existing state-of-the-art methods in two aspects: (i) modeling of topics, and (ii) link recommendation.  ...  Finding influential users in online social networks is an important problem with many possible useful applications.  ...  influential users in OSNs.  ... 
doi:10.1137/1.9781611975321.43 dblp:conf/sdm/LeeHL18 fatcat:mvordtnuwfgcrnzch4swbfmn7q

Detection and Characterization of Influential Cross-lingual Information Diffusion on Social Networks

Hongshan Jin
2017 Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion  
In SNSs with content-sharing functionality, such as "retweet" in Twitter and "share" in Facebook, posts are easily and quickly shared among users, and some of which can spread over different regions and  ...  Understanding the cross-lingual characteristics of information cascades is not only valuable for sociological research, but also beneficial in the practical sense for those who want to know globally-influential  ...  the properties of them, • Analyze the factors behind influential cross-lingual cascades and build a feature-based model to detect them in an early stage.  ... 
doi:10.1145/3041021.3055365 dblp:conf/www/Jin17 fatcat:mte52aojbvbnjlarcc6g4h3bsi

Social network user influence sense-making and dynamics prediction

Jingxuan Li, Wei Peng, Tao Li, Tong Sun, Qianmu Li, Jian Xu
2014 Expert systems with applications  
Finally we present a comprehensive empirical study on a large-scale twitter dataset to compare the influence metrics within our proposed evaluation framework.  ...  In this paper, we provide an evaluation framework to systematically measure the "characteristics" of the influence from the following three dimensions: (i) Monomorphism vs.  ...  Comparisons of top ranked influential users on twitter In this section, we list the top 10 influential users identified by various methods in Table 2 .  ... 
doi:10.1016/j.eswa.2014.02.038 fatcat:iickiw6g3ngsdfjynuxsr72kja

TwitterRank

Jianshu Weng, Ee-Peng Lim, Jing Jiang, Qi He
2010 Proceedings of the third ACM international conference on Web search and data mining - WSDM '10  
This paper focuses on the problem of identifying influential users of micro-blogging services.  ...  In a dataset prepared for this study, it is observed that (1) 72.4% of the users in Twitter follow more than 80% of their followers, and (2) 80.5% of the users have 80% of users they are following follow  ...  There are eight sets of L used in each individual round of evaluation. Five rounds of evaluation are conducted.  ... 
doi:10.1145/1718487.1718520 dblp:conf/wsdm/WengLJH10 fatcat:wqcdbmregvh6vghmhb3tjillua

Analyzing Behavior of the Influentials Across Social Media [chapter]

Nitin Agarwal, Shamanth Kumar, Huiji Gao, Reza Zafarani, Huan Liu
2012 Behavior Computing  
Some of the desirable properties of an influential individual are summarized as follows: Recognition: An influential individual is recognized by many.  ...  In the case of Twitter 6 , the posts (or tweets in this case) can be 140 characters or less.  ... 
doi:10.1007/978-1-4471-2969-1_1 fatcat:c7ow7pa43va2rhnlkwuvlhrliq
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