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Community detection by popularity based models for authored networked data

Tianbao Yang, Prakash Mandaym Comar, Linli Xu
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
In this work, we address this question by proposing probabilistic models based on the popularity link model [1] , which is demonstrated to yield encouraging results for community detection.  ...  In this work, we study the problem of community detection for networked data with additional authorship information.  ...  In this work, we address this question by proposing probabilistic models based on the popularity link model [1] , which is demonstrated to yield encouraging results for community detection.  ... 
doi:10.1145/2492517.2492520 dblp:conf/asunam/YangCX13 fatcat:li67omzzxvhqhjd6qmyoocsldy

Combining Link and Content for Community Detection [chapter]

Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
2014 Encyclopedia of Social Network Analysis and Mining  
Model based algorithms for community detection often define a generative process for the links observed in a network.  ...  One major topic in analyzing such networked data is to detect salient communities among individuals.  ... 
doi:10.1007/978-1-4614-6170-8_214 fatcat:xhsfhigyrnhedcy4lgg5cwd7za

Topics in dynamic research communities: An exploratory study for the field of information retrieval

Erjia Yan, Ying Ding, Staša Milojević, Cassidy R. Sugimoto
2012 Journal of Informetrics  
and the other is the topics of the communities detected through the topic model.  ...  Using a data set on information retrieval (IR) publications, two layers of enriched information are constructed and contrasted: one is the communities detected through the topology of coauthorship network  ...  Our approach shows that in IR, topics are sustained by the creation of a community around these topics; communities are, to a large degree, enhanced by these new topic areas.  ... 
doi:10.1016/j.joi.2011.10.001 fatcat:mz7tdj5ocjerzpltiyyeoxogcu

Event Detection and User Interest Discovering in Social Media Data Streams

Lei-Lei Shi, Lu Liu, Yan Wu, Liang Jiang, James Hardy
2017 IEEE Access  
This can resolve the problem of data sparsity, as exemplified by many existing event detection methods, and improve the accuracy of event detection.  ...  This model not only considers the user interest distribution, but also uses the short text data in the social network to model the posts and the recommend methods to discovering the user interests.  ...  ACKNOWLEDGEMENT This work was partially supported by the National Natural Science Foundation of China under Grants No. 61502209 and 61502207.  ... 
doi:10.1109/access.2017.2675839 fatcat:45y46h2iqbddnevgn6pzek77mi

Guest editorial: social networks and social Web mining

Guandong Xu, Jeffrey Yu, Wookey Lee
2013 World wide web (Bussum)  
content mining to link mining and community detection and so on.  ...  Nowadays the emergence of web-based communities and hosted services such as social networking sites -Facebook, LinkedIn, wikis -Wikipedia, microblogging -Twitter and folksonomies -Delicious, Flickr and  ...  Based on the assumption that the ratings provided by a same user on closely correlated items should have similar scores, the authors propose an effective method for NNMU detection by capturing and accumulating  ... 
doi:10.1007/s11280-013-0254-0 fatcat:6kcexbxzezdjlmyvvljnvqwbbu

Adding community and dynamic to topic models

Daifeng Li, Ying Ding, Xin Shuai, Johan Bollen, Jie Tang, Shanshan Chen, Jiayi Zhu, Guilherme Rocha
2012 Journal of Informetrics  
In this paper, we propose two models to detect communities by considering both topic and dynamic features. First, the Community Topic Model (CTM) can identify communities sharing similar topics.  ...  Experiments show that communities with similar topics can be detected and the co-evolution of communities and topics can be observed by these two models, which allow us to better understand the dynamic  ...  , as well as 0.7742 from 20 communities detected by CTM.  ... 
doi:10.1016/j.joi.2011.11.004 fatcat:lg4fyzd3hfhyjlwpz6bicxrthi

A user interest community evolution model based on subgraph matching for social networking in mobile edge computing environments

Liang Jiang, Lu Liu, Jingjing Yao, Leilei Shi
2020 Journal of Cloud Computing: Advances, Systems and Applications  
In this paper, a novel User Interest Community Evolution (UICE) model based on subgraph matching is proposed for accurately detecting the corresponding communities in the evolution of the user interest  ...  Finally, the experiments based on the real datasets have been designed to evaluate the performance of the proposed model by comparing it with the state-of-art methods in this area and complete data processing  ...  Availability of data and materials The datasets used or analysed during the current study are available from the corresponding author on reasonable request.  ... 
doi:10.1186/s13677-020-00217-3 fatcat:bei2zdhgbvborkodjq6febdwxy


І.А. Dychka, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", V.V Yerastova, L.M. Oleshchenko, V.Yа. Yurchyshyn, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019 Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences  
The article describes a software method that allows clustering authors based on their association with the keywords of scientific publications to search for potential like-minded colleagues and colleagues  ...  Reducer part is collecting information for every author, made it as id for reducing. The author's name is compared in way that it written.  ...  This need requires a new method of handling data, and now the model for working with Big Data is becoming increasingly popular.  ... 
doi:10.32838/2663-5941/2019.6-1/10 fatcat:syak45czg5adxkhj6ijzro4gba

A Review of Research Works on Supervised Learning Algorithms for SCADA Intrusion Detection and Classification

Oyeniyi Akeem Alimi, Khmaies Ouahada, Adnan M. Abu-Mahfouz, Suvendi Rimer, Kuburat Oyeranti Adefemi Alimi
2021 Sustainability  
The intention is to provide a research-based resource for researchers working on industrial control systems security.  ...  Any form of intrusive action on the SCADA modules and communication networks can create devastating consequences on nations due to their strategic importance to CIs' operations.  ...  [89] deployed OCSVMs in constructing models for the detection of intrusions in a network data.  ... 
doi:10.3390/su13179597 fatcat:cpvhccw6brahzadsgw75dgw3ai

Collective Behavior Analysis and Graph Mining in Social Networks 2021

Fei Xiong, Shirui Pan, Xuzhen Zhu
2022 Complexity  
Acknowledgments We would like to thank all the authors and reviewers in our special issue.  ...  [13] , "Efficient Data Transmission for Community Detection Algorithm Based on Node Similarity in Opportunistic Social Networks," studied the problem of community detection and presented a new data transmission  ...  [12] , the authors investigated the important factors which drive users to share knowledge and they verified their model by questionnaire data.  ... 
doi:10.1155/2022/9873569 fatcat:3b7wkwirrvgcroufkifxishdxm

Event Detection and Multi-source Propagation for Online Social Network Management

Lei-lei Shi, Lu Liu, Yan Wu, Liang Jiang, Ayodeji Ayorinde
2019 Journal of Network and Systems Management  
However, there are many noisy data in traditional microblogging network management.  ...  And a multi-source events propagation model based on individual interest is established to describe the process of multi-source event information detection and dissemination, and to describe the key role  ...  Therefore, a Topic Popularity-based Event Propagation model, named TPEP model is proposed, which calculates the node activation probability P t u,v for specific topics to simulate the event propagation  ... 
doi:10.1007/s10922-019-09493-0 fatcat:scts72mmnvfhjml45mifor4bxm

Proactive Caching at the Edge Leveraging Influential User Detection in Cellular D2D Networks

Anwar Said, Syed Shah, Hasan Farooq, Adnan Mian, Ali Imran, Jon Crowcroft
2018 Future Internet  
In this paper, we investigate a novel community detection inspired by a proactive caching scheme for device-to-device (D2D) enabled networks.  ...  We use a Clustering Coefficient based Genetic Algorithm (CC-GA) for community detection to discover a group of cellular users present in close vicinity.  ...  Acknowledgments: The authors would like to thank Saeed Ul Hassan for the insights provided and Tayyaba Liaqat for her help in reviewing the manuscript.  ... 
doi:10.3390/fi10100093 fatcat:2izdhcalqfbfxemsjefm7n6lz4

ComModeler: Topic Modeling Using Community Detection [article]

Tommy Dang, Vinh The Nguyen
2018 Eurographics Conference on Visualization  
This paper introduces ComModeler, a novel approach for topic modeling using community finding in dynamic networks.  ...  Our algorithm first extracts the terms/keywords, formulates a network of collocated terms, then refines the network based on various features (such as term/relationship frequency, sudden changes in their  ...  Use cases Conclusion This paper proposes a novel topic modeling approach that incorporates a community detection algorithm to reveal network structure in temporal data automatically.  ... 
doi:10.2312/eurova.20181104 dblp:conf/vissym/DangN18 fatcat:7zjt54ozqjc7fjoxhrj2p3ij6m

Using tf-idf as an edge weighting scheme in user-object bipartite networks [article]

Sorin Alupoaie, Pádraig Cunningham
2013 arXiv   pre-print
Bipartite user-object networks are becoming increasingly popular in representing user interaction data in a web or e-commerce environment.  ...  We propose a novel edge weighting strategy based on tf-idf and show that the new scheme improves both the density and the quality of the community structure in the projections.  ...  Several community detection methods have been proposed for bipartite networks (Fortunato, 2010) .  ... 
arXiv:1308.6118v1 fatcat:fncyslbokrdr5mqz3wylqat5xm

Community Detection Based on Individual Topics and Network Topology in Social Networks

Hui Jiang, Linjuan Sun, Juan Ran, Jianxia Bai, Xiaoye Yang
2020 IEEE Access  
Based on the above observations, a novel generative community detection model is proposed that simulates the generation of the network topology and network content by considering individual topics.  ...  For more information, see VOLUME 8, 2020  ...  ACKNOWLEDGMENT The authors would like to thank the two reviewers for their helpful comments and suggestions.  ... 
doi:10.1109/access.2020.3005935 fatcat:lti7vvx2hfcxfc53ox5rnyqmoi
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