Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1625
Title: Trends in Social Network Analysis
Other Titles: Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment /
Authors: Missaoui, R. ;;Abdessalem, Talel. ;;Latapy, Matthieu. ;
subject: Computer Science;Database Management;Data Mining;Artificial Intelligence;Computer Science;Data Mining and Knowledge Discovery;Computational Social Sciences. ;;Artificial Intelligence and Robotics;Database Management. ;;Ap
Year: 2017
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Lecture Notes in Social Networks, ; 2190-5428. ;
Lecture Notes in Social Networks, ; 2190-5428. ;
Abstract: The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field. ;
Description: 
Printed edition: ; 9783319534190. ;
SpringerLink (Online service) ;


URI: http://localhost/handle/Hannan/1625
ISBN: 9783319534206 ;
9783319534190 (print) ;
More Information: XIII, 255 p. 90 illus., 68 illus. in color. ; online resource. ;
Appears in Collections:مهندسی فناوری اطلاعات

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Title: Trends in Social Network Analysis
Other Titles: Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment /
Authors: Missaoui, R. ;;Abdessalem, Talel. ;;Latapy, Matthieu. ;
subject: Computer Science;Database Management;Data Mining;Artificial Intelligence;Computer Science;Data Mining and Knowledge Discovery;Computational Social Sciences. ;;Artificial Intelligence and Robotics;Database Management. ;;Ap
Year: 2017
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Lecture Notes in Social Networks, ; 2190-5428. ;
Lecture Notes in Social Networks, ; 2190-5428. ;
Abstract: The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field. ;
Description: 
Printed edition: ; 9783319534190. ;
SpringerLink (Online service) ;


URI: http://localhost/handle/Hannan/1625
ISBN: 9783319534206 ;
9783319534190 (print) ;
More Information: XIII, 255 p. 90 illus., 68 illus. in color. ; online resource. ;
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319534206.pdf7.63 MBAdobe PDFThumbnail
Preview File
Title: Trends in Social Network Analysis
Other Titles: Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment /
Authors: Missaoui, R. ;;Abdessalem, Talel. ;;Latapy, Matthieu. ;
subject: Computer Science;Database Management;Data Mining;Artificial Intelligence;Computer Science;Data Mining and Knowledge Discovery;Computational Social Sciences. ;;Artificial Intelligence and Robotics;Database Management. ;;Ap
Year: 2017
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Lecture Notes in Social Networks, ; 2190-5428. ;
Lecture Notes in Social Networks, ; 2190-5428. ;
Abstract: The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field. ;
Description: 
Printed edition: ; 9783319534190. ;
SpringerLink (Online service) ;


URI: http://localhost/handle/Hannan/1625
ISBN: 9783319534206 ;
9783319534190 (print) ;
More Information: XIII, 255 p. 90 illus., 68 illus. in color. ; online resource. ;
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319534206.pdf7.63 MBAdobe PDFThumbnail
Preview File