Filters








525 Hits in 3.5 sec

Mining newsgroups using networks arising from social behavior

Rakesh Agrawal, Sridhar Rajagopalan, Ramakrishnan Srikant, Yirong Xu
2003 Proceedings of the twelfth international conference on World Wide Web - WWW '03  
This social behavior gives rise to a network in which the vertices are individuals and the links represent "responded-to" relationships.  ...  A typical newsgroup posting consists of one or more quoted lines from another posting followed by the opinion of the author.  ...  Responses typically quote explicit passages from earlier postings. We can use these quoted passages to infer an implicit "social network" between individuals participating in the newsgroup.  ... 
doi:10.1145/775152.775227 dblp:conf/www/AgrawalRSX03 fatcat:ldhoxsbgt5c4pjg7ox5na4yhoa

Mining newsgroups using networks arising from social behavior

Rakesh Agrawal, Sridhar Rajagopalan, Ramakrishnan Srikant, Yirong Xu
2003 Proceedings of the twelfth international conference on World Wide Web - WWW '03  
This social behavior gives rise to a network in which the vertices are individuals and the links represent "responded-to" relationships.  ...  A typical newsgroup posting consists of one or more quoted lines from another posting followed by the opinion of the author.  ...  Responses typically quote explicit passages from earlier postings. We can use these quoted passages to infer an implicit "social network" between individuals participating in the newsgroup.  ... 
doi:10.1145/775224.775227 fatcat:ondeb427avambdxkciuhorkpx4

Page 305 of Computational Linguistics Vol. 30, Issue 3 [page]

2004 Computational Linguistics  
Mining newsgroups using networks arising from social behavior. In Proceedings of the 12th International World Wide Web Conference (WWW 2003), Budapest, May 20-24. Alvarado, Sergio J., Michael G.  ...  Mining the peanut gallery: Opinion extraction and semantic classification of produce reviews. In Proceedings of the 12th International World Wide Web Conference (WWW2003), Budapest, May 20-24.  ... 

GroupLens

Paul Resnick, Neophytos Iacovou, Mitesh Suchak, Peter Bergstrom, John Riedl
1994 Proceedings of the 1994 ACM conference on Computer supported cooperative work - CSCW '94  
Peter Foltz and Sue Dumais generously provided a test rating set generated from one of their experiments on content filtering [5] .  ...  ACKNOWLEDGMENTS Shumpei Kumon's keynote address at CSCW 92 [11] inspired our investigation of the practical application of reputations to social filtering.  ...  New social patterns will have to develop to encourage socially beneficial behaviors, such as reviewing articles that have already received a few low ratings.  ... 
doi:10.1145/192844.192905 dblp:conf/cscw/ResnickISBR94 fatcat:lig6zozvgbc7datcqaske4qoba

Network Structure and Transfer Behaviors Embedding via Deep Prediction Model

Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Böhm
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
As basic properties of the real-world networks, the local and global structure can be reflected by dynamical transfer behaviors from node to node.  ...  Experimental studies are conducted on various real-world datasets including social networks and citation networks.  ...  With their structural features, a role discovery approach RolX (Henderson et al. 2012 ) is designed to mine the similar nodes with similar social behavior.  ... 
doi:10.1609/aaai.v33i01.33015041 fatcat:7wssn6i54zc5zi4lh256tduu3i

"It is what one does": why people participate and help others in electronic communities of practice

M. McLure Wasko, S. Faraj
2000 Journal of strategic information systems  
We provide support for the public good perspective by providing results from a survey examining why people participate and share knowledge in three electronic communities of practice.  ...  The results indicate that people participate primarily out of community interest, generalized reciprocity and prosocial behavior. q Journal of Strategic Information Systems 9 (2000) 155±173 0963-8687/00  ...  The Usenet uses Internet protocols to facilitate message exchange between networked computers and has grown to include over twenty-®ve thousand different interest newsgroups with more than half a million  ... 
doi:10.1016/s0963-8687(00)00045-7 fatcat:ynjqe4a745b6xhf7klem7srwp4

Social Data Mining to Improve Bioinspired Intelligent Systems [chapter]

Alberto Ochoa, Arturo Hernndez, Sal Gonzlez, Arnulfo Castro, Alexander Gelbukh, Alberto Hernndez, Halina Iztebegovi
2008 Data Mining in Medical and Biological Research  
Social data mining systems enable people to share opinions and obtain a benefit from each other's experience.  ...  In (Viegas et al, 1990 ) have harvested information from Usenet newsgroups and chats and have used them to create visualizations of the conversation.  ...  Diorama: the social net representation. A social network is a social structure that can be represented making use of different types of diagrams.  ... 
doi:10.5772/6420 fatcat:c2xuyafatrb6dnphtrqxt62jtm

Multiparticipant chat analysis: A survey

David C. Uthus, David W. Aha
2013 Artificial Intelligence  
We also identify recent research trends and unresolved issues that could benefit from more attention.  ...  After introducing some context, we describe relevant problems and how these have been addressed using AI techniques.  ...  They leveraged the idea of social networks to improve performance, and reported small improvements in accuracy when the social networks were applied. Anjewierden et al.  ... 
doi:10.1016/j.artint.2013.02.004 fatcat:lie3tzwvdnezjpcpny4xd52jrm

Feeling the Sense of Community in Social Networking Usage

Zhongju Zhang
2010 IEEE transactions on engineering management  
We surveyed users from popular social networking sites to test the validity of the research model.  ...  This paper presents a theoretical model combining key constructs from the SOC framework and the information systems usage/success models to evaluate social networking usage.  ...  The SOC construct, though analyzed as another individual-level construct, arises from the collectivity of communicating with other individuals within a group in the social networking environment [24]  ... 
doi:10.1109/tem.2009.2023455 fatcat:hckasaebojhx3nzom7lbfmuhjq

Recommender Systems Research: A Connection-Centric Survey

Saverio Perugini, Marcos André Gonçalves, Edward A. Fox
2004 Journal of Intelligent Information Systems  
A connection-centric view of recommendation as bringing people together into a social network (center). (left) Formation of a social network by explicitly collecting ratings or profiles.  ...  Simon Social Network connections p2 p3 p4 p5 p1 keywords, surveys, feedback reviews, formation User Modeling Explicit discovery Implicit DB data user−generated the Web (e.g., ratings of user representation  ...  This work is supported in part by a fellowship from AOL, a scholarship from CAPES, and by the National Science Foundation grants DUE-0136690, DUE-0121679, IIS-0086227, IIS-0136182, and ITR-0325579.  ... 
doi:10.1023/b:jiis.0000039532.05533.99 fatcat:rscxs4oypfffpkvkbntzz4xnx4

A Connection-Centric Survey of Recommender Systems Research [article]

Saverio Perugini, Marcos Andre Goncalves, Edward A. Fox
2003 arXiv   pre-print
Recommender systems have traditionally been studied from a content-based filtering vs. collaborative design perspective.  ...  Therefore, ultimately all recommender systems make connections among people and thus should be surveyed from such a perspective.  ...  Furthermore, discussion summaries and feedback from those in CS6604 improved the organization of this paper.  ... 
arXiv:cs/0205059v2 fatcat:t45q7wvdmrg3badt2ioeagwasa

A Model based on Effective and Intelligent Sentiment Mining: A Review

Rajni Bhalla, Prateek Jain
2016 Indian Journal of Science and Technology  
Pattern discovery method are puposed to known different behaviors to discover spam review. Detection metrics could be used to score every survey.  ...  By headway of social websites, opinion settles on potential choice for customer. Even manafacturers can enhance the nature of their item.  ...  There is a developing need of viably performing aspect based sentiment mining with respect to social network data.  ... 
doi:10.17485/ijst/2016/v9i32/100209 fatcat:gga2ug7ejrbxzgjmz373wmnboa

Application based, advantageous k-means algorithm

2016 International Journal of Latest Trends in Engineering and Technology  
Several types of analytical software are available to mine useful data like statistical, machine learning, and neural networks.  ...  This paper has been written with the aim of giving a basic view on data mining.  ...  A lot of work is directed towards classification of the available data mining techniques, comparative study of such techniques, etc.  ... 
doi:10.21172/1.72.520 fatcat:5gx7hw7akje3db6xott4tlzxue

Social Network Discovery by Mining Spatio-Temporal Events

Hady W. Lauw, Ee-Peng Lim, HweeHwa Pang, Teck-Tim Tan
2005 Computational and mathematical organization theory  
In this paper, we propose a model for constructing a social network from events, and provide an algorithm that mines these events from the data.  ...  Knowing patterns of relationship in a social network is very useful for law enforcement agencies to investigate collaborations among criminals, for businesses to exploit relationships to sell products,  ...  Acknowledgment We would like to thank the Centre for IT Services, Nanyang Technological University, for providing us with the experimental data used in this paper.  ... 
doi:10.1007/s10588-005-3939-9 fatcat:bhuevyw7vze6pclpmapinl2mfa

Dense Subgraph Extraction with Application to Community Detection

Jie Chen, Yousef Saad
2012 IEEE Transactions on Knowledge and Data Engineering  
., social networks. The problem of identifying dense subgraphs helps analyze graph structures and complex networks and it is known to be challenging.  ...  contrast to existing subgraph extraction techniques which are based on a complete clustering of the graph nodes, the proposed algorithm takes into account the fact that not every participating node in the network  ...  The authors would like to thank Arindam Banerjee for introducing us to the dense subgraph problem and in particular for bringing to our attention the importance of finding a partial clustering of the graph  ... 
doi:10.1109/tkde.2010.271 fatcat:fv7s5ww6jvdgzg2xob7w5zwsg4
« Previous Showing results 1 — 15 out of 525 results