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Mining blog stories using community-based and temporal clustering

Arun Qamra, Belle Tseng, Edward Y. Chang
2006 Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06  
We wish to extract such temporal discussions, or stories, occurring within blogger communities, based on some query keywords.  ...  We propose a Content-Community-Time model that can leverage the content of entries, their timestamps, and the community structure of the blogs, to automatically discover stories.  ...  RELATED WORK We present related work here in four parts: 1) blog mining research, 2) use of probabilistic graphical models for content and relation analysis, 3) temporal mining, and 4) Web search result  ... 
doi:10.1145/1183614.1183627 dblp:conf/cikm/QamraTC06 fatcat:3ap4znr2braethsg4kobyke4am

Text Mining for News and Blogs Analysis [chapter]

William Uther, Dunja Mladenić, Massimiliano Ciaramita, Bettina Berendt, Aleksander Kołcz, Marko Grobelnik, Dunja Mladenić, Michael Witbrock, John Risch, Shawn Bohn, Steve Poteet, Anne Kao (+9 others)
2011 Encyclopedia of Machine Learning  
Solution Approaches Solution approaches are based on general data-mining methods and adapted to the conceptual specifics of news and blogs and their mining tasks (see list of tasks above).  ...  The literature on news and blogs analysis reflects these and other possible uses.  ... 
doi:10.1007/978-0-387-30164-8_827 fatcat:4sas3dwqx5f7tphlzj7l2jylle

Blogosphere

Nitin Agarwal, Huan Liu
2008 SIGKDD Explorations  
Yu , and Alan Zheng Zhao for collaboration, discussion, and valuable comments. • This work is, in part, sponsored by AFOSR and ONR grants in 2008.  ...  -Blog Clustering uses textual similarity -Blogosphere doesn't have an explicit notion of communities • Different from blog clustering • Researchers identify communities based on -Links: network of hyperlinks  ...  hyperlinks to classify a blog post as spam using a SVM based classifier • Lin et al. 2007 , consider the temporal dynamics of blog posts and propose a self similarity based splog detection algorithm  ... 
doi:10.1145/1412734.1412737 fatcat:v4ec3j66aragrnczjlisl6yowe

Text Mining for News and Blogs Analysis [chapter]

Bettina Berendt
2016 Encyclopedia of Machine Learning and Data Mining  
Over time, a story may develop in the articles. Such multiple reporting and temporal structures are also observed for popular topics in blogs.  ...  The modelling phase of text mining Solution approaches are based on general data-mining methods and adapted to the conceptual specifics of news and blogs and their mining tasks (see list of tasks above  ... 
doi:10.1007/978-1-4899-7502-7_833-1 fatcat:ywxnluhwdfd6ldwcxjqp4x2ed4

WebKDD/SNAKDD 2007

Haizheng Zhang, John Yen, C. Lee Giles, Bamshad Mombaster, Myra Spiliopoulou, Jaideep Srivastava, Olfa Nasraoui, Andrew McCallum
2007 SIGKDD Explorations  
The joint 9th WEBKDD and 1st SNA-KDD workshop was co-held with KDD 2007 and solicited papers on broad overview subject "Web Mining and Social Network Analysis".  ...  Conference on Knowledge Discovery and Data Mining (KDD 2007), August 12-15, 2007, in San Jose, California.  ...  Her research on web usage mining and data preparation, text mining, temporal mining and pattern evolution has appeared in journals, conferences, books and workshops.  ... 
doi:10.1145/1345448.1345468 fatcat:ovkzknykhzfizphljpcdggdnoq

An Information Diffusion-Based Recommendation Framework for Micro-Blogging

Jiesi Cheng, Aaron Sun, Daning Hu, Daniel Zeng
2011 Journal of the AIS  
However, seeking and extracting useful information from micro-blogging sites poses significant challenges due to the volume of the traffic and the presence of a large body of irrelevant personal messages  ...  Research Article Micro-blogging is increasingly evolving from a daily chatting tool into a critical platform for individuals and organizations to seek and share real-time news updates during emergencies  ...  China grants #71025001, #90924302, #91024030, #70890084, #60875049, #60921061; and the Ministry of Health grants #2009ZX10004-315 and #2008ZX10005-013.  ... 
doi:10.17705/1jais.00271 fatcat:qs6oh2lr3nftlkrlhrbezligxa

Social networking trends and dynamics detection via a cloud-based framework design

Athena Vakali, Maria Giatsoglou, Stefanos Antaris
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
Here, we present Cloud4Trends, a framework for collecting and analyzing user generated content through microblogging and blogging applications, both separately and jointly, focused on certain geographical  ...  areas, towards the identification of the most significant topics using trend analysis techniques.  ...  The collected articles are grouped into news story clusters with an online clustering technique based on textual content and each story is attributed a geographic context depending on its members geographical  ... 
doi:10.1145/2187980.2188263 dblp:conf/www/VakaliGA12 fatcat:acvu73g2sjf4rjk4vhyf4guvde

Ranking of evolving stories through meta-aggregation

Juozas Gordevicius, Francisco J. Estrada, Hyun Chul Lee, Periklis Andritsos, Johann Gamper
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
We evaluate the framework using both objective and subjective criteria, and discuss the selection of clustering method and similarity measure that lead to the best ranking results.  ...  First, the mining step discovers metastories, which constitute meaningful groups of similar stories that occur at arbitrary points in time.  ...  We use story clusters containing news articles as well as related blogs provided by a state-of-the-art platform for news and social media aggregation called Thoora.  ... 
doi:10.1145/1871437.1871761 dblp:conf/cikm/GordeviciusELAG10 fatcat:khi3syllubaehp2k5dwggdntxu

Online Social Networks Event Detection: A Survey [chapter]

Mário Cordeiro, João Gama
2016 Lecture Notes in Computer Science  
mining and network analysis techniques obsolete and not suitable to deal with such new challenges.  ...  Today online social network services are challenging stateof-the-art social media mining algorithms and techniques due to its realtime nature, scale and amount of unstructured data generated.  ...  Acknowledgements This work was supported by national funds, through the Portuguese funding agency, Fundação para a Ciência e a Tecnologia (FCT), and by European Commission through the project MAESTRA (  ... 
doi:10.1007/978-3-319-41706-6_1 fatcat:zdoso55jzjbypkye7w3uozcjce

Cloud-based architectures for geo-located blogosphere dynamics detection

Athena Vakali, Stefanos Antaris, Maria Giatsoglou
2016 Journal of Smart Cities  
Here, we leverage on the Cloud4Trends framework for collecting and analyzing geo-located microblogging content, partitioned into clusters under cloud-based infrastructures.  ...  For such analytics, conventional data mining approaches are challenged by both high-dimensionality and scalability concerns.  ...  Acknowledgments The authors thank the anonymous reviewers for their valuable comments and suggestions.  ... 
doi:10.18063/jsc.2016.01.006 fatcat:o6yml7nurrhoxnywnj3m37iaga

Mining Micro-blogs: Opportunities and Challenges [chapter]

Yang Liao, Masud Moshtaghi, Bo Han, Shanika Karunasekera, Ramamohanarao Kotagiri, Timothy Baldwin, Aaron Harwood, Philippa Pattison
2012 Computational Social Networks  
The interesting characteristics of micro-blogging services, such as being user oriented, provide opportunities for different applications to use the content of these sites to their advantage.  ...  This chapter first reviews some of the potential applications of the micro-messaging services and then provides some insight into different challenges faced by data mining applications.  ...  Based on the above classification of the in the data in micro-blogs, we propose the high-level data mining architecture shown in Figure 1 for identification of events and trends from mining micro-blogs  ... 
doi:10.1007/978-1-4471-4054-2_6 fatcat:euszzv4t65drtnnh7ce2vakqpq

Contextual linking behavior of bloggers: leveraging text mining to enable topic-based analysis

Sofus A. Macskassy
2011 Social Network Analysis and Mining  
The last decade has seen an explosion in blogging and the blogosphere is continuing to grow, having a large global reach and many vibrant communities.  ...  Researchers have been pouring over blog data with the goal of finding communities, tracking what people are saying, finding influencers, and using many social network analytic tools to analyze the underlying  ...  Our approach is to use a topic-detection text-mining method on our blog posts and then "categorize" these blog posts based on the topics they most relate to.  ... 
doi:10.1007/s13278-011-0026-8 fatcat:prh2reibgbhv5ax2nbzackjcje

Modeling and Data Mining in Blogosphere

Nitin Agarwal, Huan Liu
2009 Synthesis Lectures on Data Mining and Knowledge Discovery  
We elaborate on approaches that extract communities and cluster blogs based on information of the bloggers.  ...  MODELING BLOGOSPHERE complex and temporal phenomena often requires the assistance of synthetic data that matches observed characteristics.  ...  The members at the Social Computing Group, Data Mining and Machine Learning Lab at ASU made this project much easier and enjoyable.  ... 
doi:10.2200/s00213ed1v01y200907dmk001 fatcat:ifz4ic57sfcwbltrboans35zzm

Discovering Spatio-temporal Patterns of Themes in Social Media

Tobore Igbe, Bolanle Ojokoh, Olumide Adewale
2016 Oriental journal of computer science and technology  
Social networking website creates new ways for engaging people belonging to different communities, moral and social values to communicate and share valuable knowledge, therefore creating a large amount  ...  Evaluation of the system which is based on performance and functionality reveals that the model performs better than some baseline models.  ...  Jayanta and Abhisek (2011) addressed the problems of identifying themes in Social Media and detecting sentiments using statistical text-mining of blog entries.  ... 
doi:10.13005/ojcst/09.03.02 fatcat:id4v7rcmg5bnxp7ljz4mlybfdy

Evolutionary Network Analysis

Charu Aggarwal, Karthik Subbian
2014 ACM Computing Surveys  
When a network evolves, the results of data mining algorithms such as community detection need to be correspondingly updated.  ...  Some dynamic networks have a much faster rate of edge arrival and are referred to as network streams or graph streams.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory  ... 
doi:10.1145/2601412 fatcat:hvm37apdbzgnzkgilt2te6gfba
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