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Users Are Known by the Company They Keep

Thibaut Thonet, Guillaume Cabanac, Mohand Boughanem, Karen Pinel-Sauvagnat
2017 Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17  
To address this task, we propose in this paper a novel unsupervised topic model, the Social Network Viewpoint Discovery Model (SNVDM).  ...  ., U.S. policy) as well as the text and social interactions from the users discussing this issue on a social networking site, SNVDM jointly identi es the issue's topics, the users' viewpoints, and the  ...  ACKNOWLEDGMENTS We would like to thankÉric Gaussier and Igor Brigadir for their valuable comments and helpful suggestions. is work was partially supported by the French National Research Agency under project  ... 
doi:10.1145/3132847.3132897 dblp:conf/cikm/ThonetCBP17 fatcat:6cvsbynxhvblbkwtvt32nynxbi

Keeping requirements on track via visual analytics

Nan Niu, Sandeep Reddivari, Zhangji Chen
2013 2013 21st IEEE International Requirements Engineering Conference (RE)  
For many software projects, keeping requirements on track needs an effective and efficient path from data to decision.  ...  In this paper, we advance the literature on visual requirements analytics by characterizing its key components and relationships.  ...  We also thank the anonymous reviewers for their constructive comments. The work is in part supported by the U.S. NSF (National Science Foundation) Grant CCF-1238336.  ... 
doi:10.1109/re.2013.6636720 dblp:conf/re/NiuRC13 fatcat:becqwpltorcsrk5eqfxj5n45a4

Keeping Vision and Focus in Challenging Times: Virginia Library Association 2010 Annual Conference

Editorial Team
2011 Virginia Libraries  
The panel was followed by a lively Q & A in which panelists shared their suggestions for making the most of social media at your library.  ...  Among academic library users, they are perhaps the most highly engaged group when it comes to research; however, they have been the subject of relatively few research studies.  ... 
doaj:71320adbdb4f45fbb6b389ee8c39b488 fatcat:m2jirvingfgffotxrjr4blorbm

Hands On/Hands Off: Why Health Care Professionals Depend on Families but Keep Them at Arm's Length

Carol Levine, Connie Zuckerman
2000 Journal of Law, Medicine & Ethics  
All require the patient to set up a personal account by choosing a user name and password.  ...  They receive little recognition and no incentives. Often the families who are singled out for attention are unusual in some respect.  ... 
doi:10.1111/j.1748-720x.2000.tb00311.x pmid:11067632 fatcat:3usdit7wkrhfnh6kgtxwpchhq4

Recommender Systems Using Social Network Analysis: Challenges and Future Trends [chapter]

Fabrice Muhlenbach, Christine Largeron, Johann Stan
2017 Encyclopedia of Social Network Analysis and Mining  
Finally, the third dimension of users is represented by the social connections they establish with others in the network.  ...  Also, the structure of the underlying social network in a social platform can contribute to generate recommendations that are more trusted by users (e.g., by considering the social distance in the recommendation  ...  Finally, the third dimension of users is represented by the social connections they establish with others in the network.  ... 
doi:10.1007/978-1-4614-7163-9_35-1 fatcat:5jms2mowibfvtaiw62c72ai7t4

Recommender Systems Using Social Network Analysis: Challenges and Future Trends [chapter]

Johann Stan, Fabrice Muhlenbach, Christine Largeron
2014 Encyclopedia of Social Network Analysis and Mining  
Finally, the third dimension of users is represented by the social connections they establish with others in the network.  ...  Also, the structure of the underlying social network in a social platform can contribute to generate recommendations that are more trusted by users (e.g., by considering the social distance in the recommendation  ...  Finally, the third dimension of users is represented by the social connections they establish with others in the network.  ... 
doi:10.1007/978-1-4614-6170-8_35 fatcat:ytjvcrsgtvelpfaxr5ew4obe5q

Topic oriented community detection through social objects and link analysis in social networks

Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Zhexue Huang, Graham J. Williams, Jianping Fan
2012 Knowledge-Based Systems  
We greatly appreciate the reviewers and editor for their valuable suggestions and comments to improve this work.  ...  We thank Chao Li and Shuang Wang for their critical reading and careful revisions of this manuscript.  ...  [13] proposed a framework for analysis of user activity on an interactive website. User activity analysis tasks, such as user group discovery, can be performed in the framework. McCallum et al.  ... 
doi:10.1016/j.knosys.2011.07.017 fatcat:xbuse7wao5dhjp3orwdm3nj6bm

Success Factors of Information Sharing in the Field of New Media Art

Päivi Meros, Rauno Pirinen
2015 Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
In the context of this study, inventions are not always widely shared, unlike innovations, because new media art companies are typically small or run by private entrepreneurs.  ...  This study attempts to answer the following research question: how can digital information systems be understood and improved in the field of new media art from the viewpoint collaboration, networking  ...  ACKNOWLEDGEMENTS The authors thank the members of Finnish Media Art Network and new media artists and media art experts for helpful inputs and openly sharing their ideas and knowledge.  ... 
doi:10.5220/0005643804050410 dblp:conf/ic3k/MerosP15 fatcat:nqhhgmkmmfgopgvul6qddeglha

Educational BigData Mining Approach in Cloud: Reviewing the Trend

D. Pratiba, G. Shobha
2014 International Journal of Computer Applications  
We introduce four articles, written by influential scientists in the field, covering the most interesting and state-of-the-art topics on Big Data mining  ...  We present in this issue, a broad overview of the topic, its current status, controversy, and forecast to the future.  ...  The products offered by Amazon are also well known for their load balancing properties in peak traffic and generates better analytics that is again highly user friendly.  ... 
doi:10.5120/16072-5274 fatcat:pau7m2762fc4bgsp6borwv5b7i

Design Issues for Agent-Based Resource Locator Systems [chapter]

Gary Wills, Harith Alani, Ronald Ashri, Richard Crowder, Yannis Kalfoglou, Sanghee Kim
2002 Lecture Notes in Computer Science  
The essential issues for the proposed design are scalability, together with the ability to learn and adapt to changing resources.  ...  We explore the use of communities of practice, applying ontology-based networks, and e-mail message exchanges to aid the resource discovery process.  ...  The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing official policies or endorsements, either expressed or implied, of the EPSRC  ... 
doi:10.1007/3-540-36277-0_15 fatcat:mbidjnqu6ncezgsgmtioqyfg2m

A survey of Big Data dimensions vs Social Networks analysis

Michele Ianni, Elio Masciari, Giancarlo Sperlí
2020 Journal of Intelligent Information Systems  
More in detail, the analysis of user generated data by popular social networks (i.e Facebook (https://www.facebook.com/), Twitter (https://www.twitter.com/), Instagram (https://www.instagram.com/), LinkedIn  ...  The pervasive diffusion of Social Networks (SN) produced an unprecedented amount of heterogeneous data.  ...  In particular, they propose topic-aware extensions of the well-known Independent Cascade and Linear Threshold models.  ... 
doi:10.1007/s10844-020-00629-2 pmid:33191981 pmcid:PMC7649712 fatcat:3hvd5sshwzd67lxi4qlo2sgnwe

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.  ...  We end up with the conclusion that both areas can jointly provide useful insights towards the qualitative assessment of viral user-generated content, as well as for modeling the dynamic properties of influential  ...  The work in [67] was described in Section 4.2.1 and presents an LDA [59] topic profile modeling approach for the discovery of users' interests.  ... 
arXiv:1801.09961v3 fatcat:mnwvsphxgjdcvlu6vsn6g6pv5e

Sentiment Analysis in TripAdvisor

Ana Valdivia, M. Victoria Luzon, Francisco Herrera
2017 IEEE Intelligent Systems  
Acknowledgments This work has been supported by FEDER (Fondo Europeo de DEsarrollo Regional) and the Spanish National Research Project TIN2014-57251-P.  ...  , Google + ). 1 The burgeoning information explosion offered through Web 2.0 suggests that customers often check other users' opinions in forums, blogs, and social networks before buying a product or  ...  In Web 2.0, users aren't only content consumers, they can also generate content and collaborate with other users. In this way, users take an active role and create a virtual community.  ... 
doi:10.1109/mis.2017.3121555 fatcat:sbqxnhwkfvg7lnhlbhxuruu7mi

Predicting User Mention Behavior in Social Networks [chapter]

Bo Jiang, Ying Sha, Lihong Wang
2015 Lecture Notes in Computer Science  
Mention is an important interactive behavior used to explicitly refer to target users for specific information in social networks.  ...  Understanding user mention behavior can provide important insights into questions of human social behavior and improve design of social network platforms.  ...  We thank the three anonymous reviewers for their helpful comments and suggestions.  ... 
doi:10.1007/978-3-319-25207-0_13 fatcat:3ahr7epqurdefpggcfg7kquafi

Social Network Analysis and Mining for Business Applications

Francesco Bonchi, Carlos Castillo, Aristides Gionis, Alejandro Jaimes
2011 ACM Transactions on Intelligent Systems and Technology  
While there is a large body of research on different problems and methods for social network mining, there is a gap between the techniques developed by the research community and their deployment in real-world  ...  In this article we use a business process classification framework to put the research topics in a business context and provide an overview of what we consider key problems and techniques in social network  ...  ACKNOWLEDGMENTS The authors would like to thank the reviewers for their feedback.  ... 
doi:10.1145/1961189.1961194 fatcat:rstwktyuzze6fgutld3g36n2im
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