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Discovering Emerging Topics in Social Streams via Link Anomaly Detection [article]

Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi
2011 arXiv   pre-print
Aggregating anomaly scores from hundreds of users, we show that we can detect emerging topics only based on the reply/mention relationships in social network posts.  ...  Detection of emerging topics are now receiving renewed interest motivated by the rapid growth of social networks.  ...  Conclusion In this paper, we have proposed a new approach to detect the emergence of topics in a social network stream.  ... 
arXiv:1110.2899v1 fatcat:wv5azphfwjdmrbolt24m3cljuq

Discovering Emerging Topics in Social Streams via Link-Anomaly Detection

Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi
2014 IEEE Transactions on Knowledge and Data Engineering  
Aggregating anomaly scores from hundreds of users, we show that we can detect emerging topics only based on the reply/mention relationships in social network posts.  ...  Detection of emerging topics are now receiving renewed interest motivated by the rapid growth of social networks.  ...  We are interested in detecting emerging topics from social network streams based on monitoring the mentioning behaviour of users.  ... 
doi:10.1109/tkde.2012.239 fatcat:illyjvwmrvcytcovvsnbaztcwe

Discovering Emerging Topics in Social Streams via Link Anomaly Detection

Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi
2011 2011 IEEE 11th International Conference on Data Mining  
Aggregating anomaly scores from hundreds of users, we show that we can detect emerging topics only based on the reply/mention relationships in social network posts.  ...  Detection of emerging topics are now receiving renewed interest motivated by the rapid growth of social networks.  ...  We are interested in detecting emerging topics from social network streams based on monitoring the mentioning behaviour of users.  ... 
doi:10.1109/icdm.2011.53 dblp:conf/icdm/TakahashiTY11 fatcat:ev4rlcrxyzcjvmfnl2ecqup2za

ABSTRACT: C.Dedeepya Divya Discovering Emerging Topics in Social Streams via Link-Anomaly Detection

P Scholar, M Tech, T Mallika Devi
2015 unpublished
CONCLUSION: In this paper, we have proposed a new approach to detect the emergence of topics in a social network stream.  ...  PROPOSED SYSTEM: In this paper, we have proposed a new approach to detect the emergence of topics in a social network stream.  ... 
fatcat:oyfmzeisd5e5ded74qgezcb5lq

A Survey on Visual Analytics of Social Media Data

Yingcai Wu, Nan Cao, David Gotz, Yap-Peng Tan, Daniel A. Keim
2016 IEEE transactions on multimedia  
Visual analytics, which is an emerging research direction, has received considerable attention in recent years.  ...  However, the exponential growth in the volume, velocity, and variability of social media data prevents people from fully utilizing such data.  ...  In recent years, several topic-based visualization tools [9] - [11] have been developed to support event detection and monitoring using streaming data from social media.  ... 
doi:10.1109/tmm.2016.2614220 fatcat:o4nc5eutpfhrplo4joa45dxbnq

COSMOS: Towards an integrated and scalable service for analysing social media on demand

Peter Burnap, Omer Rana, Matthew Williams, William Housley, Adam Edwards, Jeffrey Morgan, Luke Sloan, Javier Conejero
2014 International Journal of Parallel, Emergent and Distributed Systems  
socially significant evidence gathered via the emerging uptake of social computing (e.g.  ...  The human eye is extremely adept at anomaly detection.  ... 
doi:10.1080/17445760.2014.902057 fatcat:zg4qodqlubgeper5yyqmey5b74

New Frontiers for Scan Statistics: Network, Trajectory, and Text Data [chapter]

Renato M. Assunção, Roberto C. S. N. P. Souza, Marcos O. Prates
2020 Handbook of Scan Statistics  
After discovering the topics present in the text collection, LDA assigns each text to a probability distribution profile in the discovered topics.  ...  This drift allows for the emergence of new and localized subjects, and the interest is on its fast detection on massive text streams.  ... 
doi:10.1007/978-1-4614-8414-1_47-1 fatcat:i7mruwigejc4ti2kufrvbd5qwm

Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization [article]

Ming Xu, Jianping Wu, Haohan Wang, Mengxin Cao
2019 arXiv   pre-print
Anomaly detection in road networks can be applied in emergency response situations and is of great importance to traffic management.  ...  Then, to promote a deeper understanding of the detected anomalies, we use an optimization method to discover the path-level anomalies.  ...  Chawla, “Discovering spatio-temporal causal In this paper, we propose a framework to detect multiple types interactions in traffic data streams,” in Proc.  ... 
arXiv:1803.04534v5 fatcat:uh5ulp7xvrgn7iypqdi7xsb2ku

Detecting Community Pacemakers of Burst Topic in Twitter [chapter]

Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang
2016 Lecture Notes in Computer Science  
Twitter has become one of largest social networks for users to broadcast burst topics.  ...  Based on the model, a user community detection algorithm based on random walk is applied to discover user community.  ...  [2] model emerging events detection problem as discovering dense clusters in highly dynamic graphs and exploit short-cycle graph property to find dense clusters efficiently in microblog streams.  ... 
doi:10.1007/978-3-319-45814-4_20 fatcat:caq4e4x43feq7ffiymscejukty

Web Analytics for Security Informatics

Kristin Glass, Richard Colbaugh
2011 2011 European Intelligence and Security Informatics Conference  
An enormous volume of security-relevant information is present on the Web, for instance in the content produced each day by millions of bloggers worldwide, but discovering and making sense of these data  ...  inferences concerning events and activities from available observations; and 3.) predictive analysis, to include providing early warning for crises and forming predictions regarding likely outcomes of emerging  ...  would enable the early detection of significant emerging topics and trends.  ... 
doi:10.1109/eisic.2011.66 dblp:conf/eisic/GlassC11 fatcat:7gw736woknhhbgfvp42n7fg5me

Reactive protocols for unified user profiling for anomaly detection in mobile Ad Hoc networks

Nariman Jabbar Qasim, Saja Majeed Mohammed, Ali Sami Sosa, Israa Albarazanchi
2019 Periodicals of Engineering and Natural Sciences (PEN)  
In the case of anomaly detection in wireless communication, combined performance indicators to identify outliers.  ...  Reactive protocols are an emerging model in the intelligent routing of traffic in ad-hoc networks.  ...  The authors discovered that the web pages were related to a specific topic through the analysis of the viewed content.  ... 
doi:10.21533/pen.v7i2.497 fatcat:os2schbsa5dbllecl5m6hzsi3i

Learning evolving and emerging topics in social media

Ankan Saha, Vikas Sindhwani
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
Guided by real-world industrial deployment scenarios, we revisit the problem of online learning of topics from streaming social media content.  ...  On one hand, the topics need to be dynamically adapted to the statistics of incoming datapoints, and on the other hand, early detection of rising new trends is important in many applications.  ...  via the word-distribution of a topic.  ... 
doi:10.1145/2124295.2124376 dblp:conf/wsdm/SahaS12 fatcat:vycad2b7ivhyjdnqgnel6a5lqa

Business Intelligence and Analytics

Ee-Peng Lim, Hsinchun Chen, Guoqing Chen
2013 ACM Transactions on Management Information Systems  
For each research direction, we will also determine a few important questions to be addressed in future research.  ...  The article aims to review the state-of-the-art techniques and models and to summarize their use in BIA applications.  ...  , anomaly detection, and predictive modeling in various information systems and human resources, accounting, finance, and marketing applications.  ... 
doi:10.1145/2407740.2407741 fatcat:enjlhfzqfnfqvlv63axun5dvee

Survey on data analysis in social media: A practical application aspect

Qixuan Hou, Meng Han, Zhipeng Cai
2020 Big Data Mining and Analytics  
We outline a commonly used pipeline in building social media-based applications and focus on discussing available analysis techniques, such as topic analysis, time series analysis, sentiment analysis,  ...  The previous studies on information spreading, relationship analyzing, and individual modeling, etc., have been heavily conducted to explore the tremendous social and commercial values of social media  ...  [18] Page rank Detect emerging topics 2011 Rossetti et al. [56] Classification Predict links 2012 Michalski et al.  ... 
doi:10.26599/bdma.2020.9020006 fatcat:msf6yz7tozbdne2mutwepo2ujy

Intelligent Disaster Response via Social Media Analysis - A Survey [article]

Tahora H. Nazer, Guoliang Xue, Yusheng Ji, Huan Liu
2017 arXiv   pre-print
In this survey, we review the new frontier of intelligent disaster relief and response using social media, show stages of disasters which are reflected on social media, establish a connection between proposed  ...  This information is primarily provided by first responders on-site and can be enhanced by the firsthand reports posted in real-time on social media.  ...  The goal of event detection methods is extracting events in a stream of news or social media posts [4] .  ... 
arXiv:1709.02426v1 fatcat:pc2vmo3h6rem5hxwmq4d7d6mdq
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