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Mining Event Temporal Boundaries from News Corpora through Evolution Phase Discovery [chapter]

Liang Kong, Rui Yan, Han Jiang, Yan Zhang, Yan Gao, Li Fu
2011 Lecture Notes in Computer Science  
Users are usually eager to browse the whole event evolution. With the huge quantity of documents, it is almost impossible for users to read all of them.  ...  The techniques of Event Detection and Tracking makes it feasible to gather and structure text information into events which are constructed online automatically and updated temporally.  ...  A topic is usually discussed heavily within the center of an episode and in the transition period the topic temporarily fades and stays away from people's attention.  ... 
doi:10.1007/978-3-642-23535-1_47 fatcat:gdugzkgrmzbj7kdbjwggqbprim

Detecting topic evolution in scientific literature

Qi He, Bi Chen, Jian Pei, Baojun Qiu, Prasenjit Mitra, Lee Giles
2009 Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09  
We propose an iterative topic evolution learning framework by adapting the Latent Dirichlet Allocation model to the citation network and develop a novel inheritance topic model.  ...  The results clearly show that citations can help to understand topic evolution better.  ...  RELATED WORK In this section, we briefly review previous work in topic models and their applications on topic detection and topic evolution.  ... 
doi:10.1145/1645953.1646076 dblp:conf/cikm/HeCPQMG09 fatcat:o2zrbdp4k5dtdgojabwnkem6jm

Tracing Topic Transitions with Temporal Graph Clusters

Xiaonan Jing, Qingyuan Hu, Yi Zhang, Julia Taylor Rayz
2021 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
Subsequently, we model the clustering transitions between the temporal graphs to identify the topic evolution.  ...  It can be challenging to identify topics on Twitter due to continuous updating data stream.  ...  Modeling Cluster Transitions In many stream based data analysis tasks, modeling cluster transitions is the key to identify the evolution of the tar-Algorithm 1 Finding Optimal Graph Clustering for node  ... 
doi:10.32473/flairs.v34i1.128547 fatcat:3y467knhnjd5bmaaxnzkg4dka4

Topic evolution and social interactions

Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles
2006 Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06  
By viewing the evolution of topics as a Markov chain, we estimate a Markov transition matrix of topics by leveraging social interactions and topic semantics.  ...  Applied to the CiteSeer dataset, a collection of documents in academia, we show the trends of research topics, how research topics are related and which are stable.  ...  We observe that diagonal elements show the existence of high self-transition probabilities and that both matrices are almost symmetric, meaning the pairwise transition between topics in the same mTopic  ... 
doi:10.1145/1183614.1183653 dblp:conf/cikm/ZhouJZG06 fatcat:dykfrwdol5an7a3kc63ztke4ca

Modeling and Analysis of Dynamic Behaviors of Web Image Collections [chapter]

Gunhee Kim, Eric P. Xing, Antonio Torralba
2010 Lecture Notes in Computer Science  
We propose a nonparametric approach to modeling and analysis of topical evolution in image sets.  ...  Can we model the temporal evolution of topics in Web image collections? If so, can we exploit the understanding of dynamics to solve novel visual problems or improve recognition performance?  ...  Xing, and NSF Career Award IIS 0747120 to Antonio Torralba.  ... 
doi:10.1007/978-3-642-15555-0_7 fatcat:a3z53ysa7nh3zfwd2nlos6grde

Temporal Latent Space Modeling for Community Prediction [chapter]

Hossein Fani, Ebrahim Bagheri, Weichang Du
2020 Lecture Notes in Computer Science  
The model allows each user to adjust its location in the latent space as her topics of interest evolve over time.  ...  Empirically, we demonstrate that our model, when evaluated on a Twitter dataset, outperforms existing approaches under two application scenarios, namely news recommendation and user prediction on a host  ...  We attribute the accuracy of our proposed approach to the fact that it directly models and leverages the impact of users' pairwise similarity over their topics of interest within the time dimension, i.e  ... 
doi:10.1007/978-3-030-45439-5_49 fatcat:5nwwmjuprbgdxh6fu22dzbt3pe

Towards Community Discovery in Signed Collaborative Interaction Networks

Petko Bogdanov, Nicholas D. Larusso, Ambuj Singh
2010 2010 IEEE International Conference on Data Mining Workshops  
We leverage topic modelling in order to capture agreement and opposition of contributors and analyze these multi-modal relations to map communities in the contributor base.  ...  The key steps of our approach include (i) modeling of pairwise variable-strength contributor interactions that can be both positive and negative, (ii) synthesis of a global network incorporating all pairwise  ...  Our model is different in that it is based on the topical content of the change as opposed to the difference in size. III.  ... 
doi:10.1109/icdmw.2010.174 dblp:conf/icdm/BogdanovLS10 fatcat:25a7p6sh3zc2ljcpxxo64bgmaq

Recent advances in opinion propagation dynamics: A 2020 Survey [article]

Hossein Noorazar
2020 arXiv   pre-print
Spread of fake news, propaganda, and election interferences have made it clear there is an essential need to know more about these dynamics.  ...  Group decision making, successful marketing, and constructing networks (in which consensus can be reached or prevented) are a few examples of existing or potential applications.  ...  Interrelated topics in DW model. Fei et al. [133] propose a model for interdependent topics where interactions are pairwise and follow the bounded confidence concept. More on interrelated topics.  ... 
arXiv:2004.05286v2 fatcat:pnflrglcznaqfflea45ergpdaa

TopicPanorama: A full picture of relevant topics

Shixia Liu, Xiting Wang, Jianfei Chen, Jim Zhu, Baining Guo
2014 2014 IEEE Conference on Visual Analytics Science and Technology (VAST)  
ACKNOWLEDGMENTS The authors would like to thank K. Zhou and J. Yang for the insightful discussions and S. Lin for proofreading the paper. J. Chen  ...  To help analysts better explore and analyze a large document collection, TIARA [32] tightly integrates the stacked graph visualization with the LDA model [5] to illustrate topic evolution patterns  ...  ParallelTopics [19] employs ThemeRiver to illustrate topic evolution over time and parallel coordinate plots to convey the probabilistic distribution of a document on different topics.  ... 
doi:10.1109/vast.2014.7042494 dblp:conf/ieeevast/LiuWCZG14 fatcat:4zmqx7mlgbhw5gnghx5vnqu7ru

Understanding evolution of research themes

Xiaolong Wang, Chengxiang Zhai, Dan Roth
2013 Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '13  
In this paper, we propose a novel way of analyzing literature citation to explore the research topics and the theme evolution by modeling article citation relations with a probabilistic generative model  ...  The key idea is to represent a research paper by a "bag of citations" and model such a "citation document" with a probabilistic topic model.  ...  The authors would like to thank the anonymous reviewers for their constructive comments and suggestions, which significantly contribute to improving the manuscript and help us to notice the related works  ... 
doi:10.1145/2487575.2487698 dblp:conf/kdd/WangZR13 fatcat:hjttatvqk5bgzowb4msvcewnlq

iPoster: Interactive Poster Generation based on Topic Structure and Slide Presentation

Yuanyuan Wang, Yukiko Kawai, Kazutoshi Sumiya
2015 Transactions of the Japanese society for artificial intelligence  
The structural layout can reveal the hierarchy of elements based on topic structure by moving from the overview to a detail using automatic transitions, such as zooms and pans.  ...  Recently, Prezi introduced a zoomable canvas as a substitute to the traditional presentations that allows users to zoom in and out of the presentation media.  ...  Acknowledgments This research was supported in part by Strategic Information and Communications R&D Promotion Programme (SCOPE), the Ministry of Internal Affairs and Communications of Japan, and a Grant-in-Aid  ... 
doi:10.1527/tjsai.30.112 fatcat:6phhjph4nzhg7mf2wysvbl4eui

On dynamicity of expert finding in community question answering

Mahmood Neshati, Zohreh Fallahnejad, Hamid Beigy
2017 Information Processing & Management  
Specifically, we consider four feature groups; namely, topic similarity, emerging topics, user behavior and topic transition.  ...  However, considering the evolution of personal expertise over time can improve the quality of expert finding. In many applications, it is beneficial to find the potential experts in future.  ...  However, in many applications, it is beneficial to find the potential experts in future time.  ... 
doi:10.1016/j.ipm.2017.04.002 fatcat:uijfwhjuingv7lrgqd2pgueiva

Real-Time Visualization of Streaming Text with a Force-Based Dynamic System

J. Alsakran, Yang Chen, Dongning Luo, Ye Zhao, Jing Yang, Wenwen Dou, Shixia Liu
2012 IEEE Computer Graphics and Applications  
Second, topic modeling is used to represent the documents with higher level semantic meanings. Third, document clusters are generated to promote better understanding.  ...  It incorporates incoming documents from a continuous source into existing visualization context with automatic grouping and separation based on document similarities.  ...  We thank the anonymous reviewers for helpful reviews and Zhi Yuan for improving the system.  ... 
doi:10.1109/mcg.2011.91 pmid:24808291 fatcat:abqqdnib3zhslndcycjryzxxti

Event Detection in Complex Scenes Using Interval Temporal Constraints

Yifan Zhang, Qiang Ji, Hanqing Lu
2013 2013 IEEE International Conference on Computer Vision  
It is essential to detect them in a holistic way which incorporates the causality and temporal dependency among them to compensate the limitation of current computer vision techniques.  ...  , which can not only capture the complex interval temporal relationships, but also model the evolution dynamics and handle the uncertainty from the noisy visual observation.  ...  Acknowledgements This work was partly supported by DARPA grant HR0011-08-C-0135-S8, 973 Program (2010CB327905), DARPA grant HR0011-10-C-0112, and National Natural Science Foundation of China (61202325)  ... 
doi:10.1109/iccv.2013.395 dblp:conf/iccv/ZhangJL13 fatcat:bcqrlelawnghvd3j2uqvwylcv4

Understanding vehicular traffic behavior from video: a survey of unsupervised approaches

Brendan Tran Morris, Mohan Manubhai Trivedi
2013 Journal of Electronic Imaging (JEI)  
The review focuses on two main methods for scene description, trajectory clustering and topic modeling. Example applications that utilize the behavioral modeling techniques are also presented.  ...  , and to detect an abnormal event.  ...  The authors would like to thank the reviewers for their useful comments and members of the CVRR laboratory for their support.  ... 
doi:10.1117/1.jei.22.4.041113 fatcat:ftd2elgj5vd4vaada3hxfsfiby
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