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Mining blog stories using community-based and temporal clustering
2006
Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06
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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]
2011
Encyclopedia of Machine Learning
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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
2008
SIGKDD Explorations
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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]
2016
Encyclopedia of Machine Learning and Data Mining
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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
2007
SIGKDD Explorations
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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
2011
Journal of the AIS
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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
2012
Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion
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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
2010
Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10
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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]
2016
Lecture Notes in Computer Science
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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
2016
Journal of Smart Cities
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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]
2012
Computational Social Networks
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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
2011
Social Network Analysis and Mining
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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
2009
Synthesis Lectures on Data Mining and Knowledge Discovery
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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
2016
Oriental journal of computer science and technology
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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
2014
ACM Computing Surveys
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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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