Event detection in online social network: Methodologies, state-of-art, and evolution

Zhao, 2015, Multi-task learning for spatio-temporal event forecasting, 1503

zhu, 2020, The dynamic privacy-preserving mechanisms for online dynamic social networks, IEEE Trans. Knowl. Data Eng., 1

Kwak, 2010, What is Twitter, a social network or a news media?, 591

Ma, 2019, Online event detection in social media with bursty event recognition, 181

Chen Xing, Yuan Wang, Jie Liu, Yalou Huang, Wei-Ying Ma, Hashtag-based sub-event discovery using mutually generative lda in twitter, in: Thirtieth AAAI Conference on Artificial Intelligence, 2016.

Kleinberg, 2003, Bursty and hierarchical structure in streams, Data Min. Knowl. Discov., 7, 373, 10.1023/A:1024940629314

Zhou, 2020, A survey on multi-modal social event detection, Knowl.-Based Syst., 195, 10.1016/j.knosys.2020.105695

Cordeiro, 2016, Online social networks event detection: A survey, 1

Dou, 2012, Leadline: Interactive visual analysis of text data through event identification and exploration, 93

Zhou, 2014, Event detection over twitter social media streams, VLDB J., 10.1007/s00778-013-0320-3

He, 2007, Bursty feature representation for clustering text streams, 491

He, 2007, Analyzing feature trajectories for event detection, 207

Chen, 2009, Event detection from flickr data through wavelet-based spatial analysis, 523

Mário Cordeiro, Twitter event detection: Combining wavelet analysis and topic inference summarization, in: Doctoral Symposium on Informatics Engineering, 2012, pp. 11–16.

Walther, 2013, Geo-spatial event detection in the twitter stream, 356

Guille, 2014, Mention-anomaly-based event detection and tracking in twitter, 375

Hassan Sayyadi, Matthew Hurst, Alexey Maykov, Event detection and tracking in social streams, in: Third International AAAI Conference on Weblogs and Social Media, 2009.

Jianshu Weng, Bu-Sung Lee, Event detection in twitter, in: Fifth International AAAI Conference on Weblogs and Social Media, 2011.

Hila Becker, Mor Naaman, Luis Gravano, Beyond trending topics: Real-world event identification on twitter, in: Fifth International AAAI Conference on Weblogs and Social Media, 2011.

Kaleel, 2015, Cluster-discovery of Twitter messages for event detection and trending, J. Comput. Sci., 6, 47, 10.1016/j.jocs.2014.11.004

Dong, 2015, Multiscale event detection in social media, Data Min. Knowl. Discov., 29, 1374, 10.1007/s10618-015-0421-2

Chen, 2015, Modeling emerging, evolving and fading topics using dynamic soft orthogonal nmf with sparse representation, 61

Siwei Lai, Liheng Xu, Kang Liu, Jun Zhao, Recurrent convolutional neural networks for text classification, in: Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015.

Thien Huu Nguyen, Ralph Grishman, Graph convolutional networks with argument-aware pooling for event detection, in: Thirty-Second AAAI Conference on Artificial Intelligence, 2018.

Ying Zeng, Yansong Feng, Rong Ma, Zheng Wang, Rui Yan, Chongde Shi, Dongyan Zhao, Scale Up Event Extraction Learning via Automatic Training Data Generation, in: Thirty-Second AAAI Conference on Artificial Intelligence, 2018.

Wu, 2019, Deepdetect: A cascaded region-based densely connected network for seismic event detection, IEEE Trans. Geosci. Remote Sens.

Goyal, 2019, Multilevel event detection, storyline generation, and summarization for tweet streams, IEEE Trans. Comput. Soc. Syst., PP, 1

Yuan, 2021, Learning context-aware representation for event detection, 600

Portelli, 2021, BERT prescriptions to avoid unwanted headaches: A comparison of transformer architectures for adverse drug event detection, 1740

Miao, 2021, Machine learning based cyber attacks targeting on controlled information: A survey, ACM Comput. Surv., 54, 136:1

Chen, 2009, Accelerated gradient method for multi-task sparse learning problem, 746

Thomas Hofmann, Probabilistic latent semantic indexing, in: International Acm Sigir Conference on Research and Development in Information Retrieval, 1999.

Zhu, 2008, Topic detection and tracking for threaded discussion communities, 77

Zhang, 1997, BIRCH: A new data clustering algorithm and its applications, Data Min. Knowl. Discov., 1, 141, 10.1023/A:1009783824328

Becker, 2010, Learning similarity metrics for event identification in social media, 291

Rattenbury, 2007, Towards automatic extraction of event and place semantics from flickr tags, 103

Erdem, 2014, A new correlation coefficient for bivariate time-series data, Physica A, 414, 274, 10.1016/j.physa.2014.07.054

Dunning, 1993, Accurate methods for the statistics of surprise and coincidence, Comput. Linguist., 19, 61

Ohsawa, 1998, KeyGraph: Automatic indexing by co-occurrence graph based on building construction metaphor, 12

Mori, 2006, Topic detection and tracking for news web pages, 338

Allan, 1998, On-line new event detection and tracking, vol. 98, 37

Petrović, 2010, Streaming first story detection with application to twitter, 181

Broder, 1997, On the resemblance and containment of documents, 21

Manning, 2010, Introduction to information retrieval, Nat. Lang. Eng., 16, 100

Vaca, 2014, A time-based collective factorization for topic discovery and monitoring in news, 527

Cao, 2007, Detect and track latent factors with online nonnegative matrix factorization, 2689

Kim, 2014, Algorithms for nonnegative matrix and tensor factorizations: A unified view based on block coordinate descent framework, J. Global Optim., 58, 285, 10.1007/s10898-013-0035-4

Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park, Local context sparse coding, in: Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015.

Walker, 2012, Topics over nonparametric time: A supervised topic model using bayesian nonparametric density estimation

Yee W Teh, Michael I Jordan, Matthew J Beal, David M Blei, Sharing clusters among related groups: Hierarchical Dirichlet processes, in: Advances in Neural Information Processing Systems, 2005, pp. 1385–1392.

Guo, 2016, A nonparametric model for event discovery in the geospatial-temporal space, 499

Wang Yuan, Liu Jie, Jishi Qu, Yalou Huang, Jimeng Chen, Feng Xia, Hashtag Graph Based Topic Model for Tweet Mining, in: IEEE International Conference on Data Mining, 2014.

Chenghua Lin, Yulan He, Joint sentiment/topic model for sentiment analysis, in: ACM Press Proceeding of the 18th ACM Conference - Hong Kong, China 2009 / Proceeding of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, 2009.

Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner, Supporting Crisis Management via Sub-Event Detection in Social Networks, in: IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE, 2012.

Rosen-Zvi, 2004, The author-topic-community model for author interest profiling and community discovery, Knowl. Inf. Syst., 44, 359

Evgeniou, 2004, Regularized multi–task learning, 109

Argyriou, 2007, Multi-task feature learning, 41

Ando, 2005, A framework for learning predictive structures from multiple tasks and unlabeled data, J. Mach. Learn. Res., 6, 1817

Thelen, 2002, A bootstrapping method for learning semantic lexicons using extraction pattern contexts, 214

Ritter, 2012, Open domain event extraction from twitter, 1104

Jiwei Li, Alan Ritter, Claire Cardie, Eduard Hovy, Major life event extraction from twitter based on congratulations/condolences speech acts, in: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP, 2014, pp. 1997–2007.

Tibshirani, 1996, Regression shrinkage and selection via the lasso, J. R. Stat. Soc. Ser. B Stat. Methodol., 58, 267

Obozinski, 2010, Joint covariate selection and joint subspace selection for multiple classification problems, Stat. Comput., 20, 231, 10.1007/s11222-008-9111-x

Huang, 2012, Improving word representations via global context and multiple word prototypes, 873

Petrov, 2006, Learning accurate, compact, and interpretable tree annotation, 433

Socher, 2011, Semi-supervised recursive autoencoders for predicting sentiment distributions, 151

Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D Manning, Andrew Ng, Christopher Potts, Recursive deep models for semantic compositionality over a sentiment treebank, in: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013, pp. 1631–1642.

Collobert, 2011, Natural language processing (almost) from scratch, J. Mach. Learn. Res., 12, 2493

Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, Jun Zhao, Automatically labeled data generation for large scale event extraction, in: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017, pp. 409–419.

John Lafferty, Andrew McCallum, Fernando C.N. Pereira, Conditional random fields: Probabilistic models for segmenting and labeling sequence data, in: Proceedings of the 18th International Conference on Machine Learning, ICML, 2001, pp. 282–289.

Qi Chen, Wei Wang, Multi-modal Neural Network for Traffic Event Detection, in: 2019 IEEE 2nd International Conference on Electronics and Communication Engineering, ICECE, 2019, pp. 26–30.

Guangli Wu, Zhenzhou Guo, Leiting Li, Chengxiang Wang, Video Abnormal Event Detection Based on CNN and LSTM, in: 2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP, 2020, pp. 334–338.

Boyu Wang, Yan Li, Jing Yang, LSTM-based Quick Event Detection in Power Systems, in: 2020 IEEE Power Energy Society General Meeting, PESGM, 2020, pp. 1–5.

Snowsill, 2010, Finding surprising patterns in textual data streams, 405

Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, Jun Zhao, Event extraction via dynamic multi-pooling convolutional neural networks, in: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2015, pp. 167–176.

Burnap, 2014, Tweeting the terror: Modelling the social media reaction to the woolwich terrorist attack, Soc. Netw. Anal. Min., 4, 206, 10.1007/s13278-014-0206-4

Shin, 2017, Stexnmf: Spatio-temporally exclusive topic discovery for anomalous event detection, 435

Georgios Petkos, Symeon Papadopoulos, Emmanouil Schinas, Yiannis Kompatsiaris, Graph-Based Multimodal Clustering for Social Event Detection in Large Collections of Images, in: International Conference on Multimedia Modeling, 2014.

Manos Schinas, Symeon Papadopoulos, Georgios Petkos, Yiannis Kompatsiaris, Pericles A. Mitkas, Multimodal Graph-based Event Detection and Summarization in Social Media Streams, in: The 23rd ACM International Conference, 2015.

Zhongwen Xu, Yi Yang, Alex G. Hauptmann, A discriminative CNN video representation for event detection, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 1798–1807.