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Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks [article]

Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He
2021 arXiv   pre-print
Third, we propose a streaming social event detection and evolution discovery framework for HINs based on meta-path similarity search, historical information about meta-paths, and heterogeneous DBSCAN clustering  ...  Comprehensive experiments on real-world streaming social text data are conducted to compare various social event detection and evolution discovery algorithms.  ...  HETEROGENEOUS EVENT MODELING In this section, we define the problem of modeling social events in heterogeneous information network (HIN) and introduce several related concepts, necessary notations and  ... 
arXiv:2104.00853v1 fatcat:3h6t6zbowradliw3hek6hw4coi

Introduction to the special issue on discovery science

Michelangelo Ceci, Toon Calders
2018 Machine Learning  
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ...  Specifically, they use temporal networks concepts to analyze the evolution of social relationships and propose strategies to detect changes in the network structure based on node centrality.  ...  In the paper "On Analyzing User Preference Dynamics with Temporal Social Networks" by Pereira et al., the authors investigate the interplay between user preferences and social networks over time.  ... 
doi:10.1007/s10994-018-5749-6 fatcat:aisy73tcirexxnd45d5b34wyy4

Learning Structure and Schemas from Heterogeneous Domains in Networked Systems: A Survey

Marenglen Biba, Fatos Xhafa
2010 2010 International Conference on Intelligent Networking and Collaborative Systems  
This is essential in order to better organize huge collections as well as to effectively and efficiently retrieve documents in heterogeneous domains in networked system.  ...  The survey is organized around the most important application domains, namely, bio-informatics, sensor networks, social networks, P2P systems, automation and control, transportation and privacypreserving  ...  This has led to several models of bursts in these streams, i.e., periods of elevated occurrence of events and there are several burst definitions and detection algorithms.  ... 
doi:10.1109/incos.2010.63 dblp:conf/incos/BibaX10 fatcat:2pbt6ci45fdclopif23djiehpe

A Novel Emerging Topic Identification and Evolution Discovery Method on Time-Evolving and Heterogeneous Online Social Networks

Xiaoyan Xu, Wei Lv, Beibei Zhang, Shuaipeng Zhou, Wei Wei, Yusen Li
2021 Complexity  
This paper proposed a novel early emerging topic detection and its evolution law identification framework based on dynamic community detection method on time-evolving and scalable heterogeneous social  ...  Firstly, a time-evolving and scalable complex network denoted as KeyGraph is built up by deeply analyzing the text features of all kinds of data crawled from heterogeneous online social network platforms  ...  [39] treated the breaking news as a heterogeneous social data stream and developed how to extract events from the dynamic data stream. Liu et al.  ... 
doi:10.1155/2021/8859225 doaj:66c1eb9e63284b80953f2fe3507f4ffc fatcat:dv6xk3hr5zey3ohxoxmwdgx2ga

Tiles: an online algorithm for community discovery in dynamic social networks

Giulio Rossetti, Luca Pappalardo, Dino Pedreschi, Fosca Giannotti
2016 Machine Learning  
Community discovery has emerged during the last decade as one of the most challenging problems in social network analysis.  ...  However, social networks are dynamic realities (e.g. call graphs, online social networks): in such scenarios static community discovery fails to identify a partition of the graph that is semantically consistent  ...  and vanishing of social clusters that static community discovery algorithms are unable to detect.  ... 
doi:10.1007/s10994-016-5582-8 fatcat:qpqijmyft5f2hkdlwbtbbm5ozm

Research Challenges for Data Mining in Science and Engineering [chapter]

Jiawei Han, Jing Gao
2008 Chapman & Hall/CRC Data Mining and Knowledge Discovery Series  
In this paper, we discuss the research challenges in science and engineering, from the data mining perspective, with a focus on the following issues: (1) information network analysis, (2) discovery, usage  ...  scale, either being stored in gigantic storage devices or flowing into and out of the system in the form of data streams.  ...  as social network analysis, web community discovery, terrorist network mining, computer network analysis, and network intrusion detection.  ... 
doi:10.1201/9781420085877.pt1 fatcat:ljs2uybdofgkxfpouawfekdaz4

Discovering OLAP dimensions in semi-structured data

Svetlana Mansmann, Nafees Ur Rehman, Andreas Weiler, Marc H. Scholl
2014 Information Systems  
We propose to extend the capabilities of OLAP via contentdriven discovery of measures and dimensions in the original dataset.  ...  In this work we focus on the challenge of generating, maintaining, and querying such discovered elements of the cube.  ...  social network communication.  ... 
doi:10.1016/ fatcat:377h5bhyvvfg7j5j6cbgo7xh3a

Evolutionary Network Analysis

Charu Aggarwal, Karthik Subbian
2014 ACM Computing Surveys  
Evolutionary network analysis has found an increasing interest in the literature because of the importance of different kinds of dynamic social networks, email networks, biological networks, and social  ...  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

Discovering OLAP dimensions in semi-structured data

Svetlana Mansmann, Nafees Ur Rehman, Andreas Weiler, Marc H. Scholl
2012 Proceedings of the fifteenth international workshop on Data warehousing and OLAP - DOLAP '12  
We propose to extend the capabilities of OLAP via contentdriven discovery of measures and dimensions in the original dataset.  ...  In this work we focus on the challenge of generating, maintaining, and querying such discovered elements of the cube.  ...  social network communication.  ... 
doi:10.1145/2390045.2390048 dblp:conf/dolap/MansmannRWS12 fatcat:vewta2bz2zahzkapuejgg3tsbq

Data stream mining techniques: a review

Eiman Alothali, Hany Alashwal, Saad Harous
2019 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
In this paper, we review real time clustering and classification mining techniques for data stream.  ...  A plethora of infinite data is generated from the Internet and other information sources.  ...  Many studies focus on detecting and studying different events in social networks by using stream data mining techniques.  ... 
doi:10.12928/telkomnika.v17i2.11752 fatcat:rls2qzcl3vhobmkpycsdwhzplu

Technical challenges and perspectives in batch and stream big data machine learning

KVSN Rama Rao, Sivakannan S, M.A. Prasad, R. Agilesh Saravanan
2017 International Journal of Engineering & Technology  
Hence there is a paradigm shift in the Machine learning with the advent of Big Data. Research works are in evolution to deal with Big Data Batch and stream real time data.  ...  Sensors, devices, servers, Internet, Social Networking, Smart phones and Internet of Things are contributing the major sources of data.  ...  Few advanced topics in mining like Role discovery, Trustworthiness Analysis, Text Mining and Information networks Integration and OLAP are discussed by the author in case of heterogeneous networks.  ... 
doi:10.14419/ijet.v7i1.3.9225 fatcat:4t5dbvdfpbfnfn6dsi7vcrsw5e

ICDE conference 2015 detailed author index

2015 2015 IEEE 31st International Conference on Data Engineering  
C D E F G H I J K L M N O P Q R S T U V W X Y Z Velegrakis, Yannis 1538 Goals in Social Media, Information Retrieval and Intelligent Agents Identifying Users in Social Networks with Limited Information  ...  195 Comprehensive and Reliable Crowd Assessment Algorithms 219 Entity Resolution with Crowd Errors 627 Identifying Users in Social Networks with Limited Information García-Soriano, David 137  ... 
doi:10.1109/icde.2015.7113260 fatcat:ep7pomkm55f45j33tkpoc5asim

Research on event perception based on geo-tagged social media data

Ruoxin Zhu, Chenyu Zuo, Diao Lin
2019 Proceedings of the ICA  
Therefore, in the information age, how to effectively observe the event and improve event management ability is an open question worthy of attention.  ...  Then, how to detect and trace event, how to analyze event impact and visually express obtained knowledge are discussed respectively.  ...  Event detection from Flickr-like multimedia streams Supervised methods and unsupervised methods are all widely adopted in dealing with event detection from Flickr-like social media streams.  ... 
doi:10.5194/ica-proc-2-157-2019 fatcat:i2vo6okebvfgjl5xuiid235a3m

Geosocial gauge: a system prototype for knowledge discovery from social media

Arie Croitoru, Andrew Crooks, Jacek Radzikowski, Anthony Stefanidis
2013 International Journal of Geographical Information Science  
The remarkable success of online social media sites marks a shift in the way people connect and share information.  ...  Furthermore, the wide spectrum of social media data and service types provides a multitude of perspectives on real-world activities and happenings, thus opening new frontiers in geosocial knowledge discovery  ...  Duch and Arenas (2005) provide a good overview of techniques for connected community detection in social networks.  ... 
doi:10.1080/13658816.2013.825724 fatcat:w56o6glxrfabtghclf62mkjnrm

Community Discovery in Dynamic Networks

Giulio Rossetti, Rémy Cazabet
2018 ACM Computing Surveys  
Many researchers have worked on methods that can efficiently unveil substructures in complex networks, giving birth to the field of community discovery.  ...  To model the evolution of a system, dynamic networks can be used: nodes and edges are mutable and their presence, or absence, deeply impacts the community structure that composes them.  ...  Acknowledgement We thank Jane Carlen for her feedback that helped us correct some errors in the description of some methods.  ... 
doi:10.1145/3172867 fatcat:x6gcg42j3raklfr2f2y3ou5u44
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