Community Structure Analysis Social (23 results)

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BINDING - Rebound full cloth. Condition: CONDITION - used/Average. 1st Edition. 229 Pages. Illustrated. Some Marginalia, 3/4 Minor Pin Holes.

Cloth w/ DJ in mylar. Condition: Good. Dust Jacket Condition: Good. Strong, tight and clean. The M.S. University Sociological Monograph Series I. DJ heavily chipped on spine and corners, with blemish on reverse. Book is moderately sunned on spine top and bottom, with some edge wear. Professional book dealer with storefront since 1975. All orders are processed promptly and carefully packaged.

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Condition: New. 1st edition NO-PA16APR2015-KAP.

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Hardcover. Condition: Brand New. 280 pages. 9.18x6.12x9.45 inches. In Stock.

1960. xvi, 229 pp. Original halfcloth with dustjacket. Only a few minor annotations with pencil. The M.S. University Sociological Monograph Series 1. Pictures on request.

Hardcover. Condition: new. Hardcover. This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasizing network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. The book aims to present challenges and innovative solutions in community structure detection, incorporating diversity into problem-solving. Furthermore, it explores the applications of identified community structures within network analysis, offering insights into social network dynamics.Investigates the practical applications and uses of community structures identified from network analysis across various domains of real-world networksHighlights the challenges encountered in analyzing community structures and presents state-of-the-art approaches designed to address these challengesSpans into various domains like business intelligence, marketing, and epidemics, examining influential node detection and crime within social networksExplores methodologies for evaluating the quality and accuracy of community detection modelsExamines a diverse range of challenges and offers innovative solutions in the field of detecting community structures from social networksThe book is a ready reference for researchers and scholars of Computer Science and Computational Social Systems working in the area of Community Structure Analysis from Social Network Data. This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasising network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasizing network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. The book aims to present challenges and innovative solutions in community structure detection, incorporating diversity into problem-solving. Furthermore, it explores the applications of identified community structures within network analysis, offering insights into social network dynamics.Investigates the practical applications and uses of community structures identified from network analysis across various domains of real-world networksHighlights the challenges encountered in analyzing community structures and presents state-of-the-art approaches designed to address these challengesSpans into various domains like business intelligence, marketing, and epidemics, examining influential node detection and crime within social networksExplores methodologies for evaluating the quality and accuracy of community detection modelsExamines a diverse range of challenges and offers innovative solutions in the field of detecting community structures from social networksThe book is a ready reference for researchers and scholars of Computer Science and Computational Social Systems working in the area of Community Structure Analysis from Social Network Data. This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasising network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasizing network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. The book aims to present challenges and innovative solutions in community structure detection, incorporating diversity into problem-solving. Furthermore, it explores the applications of identified community structures within network analysis, offering insights into social network dynamics.Investigates the practical applications and uses of community structures identified from network analysis across various domains of real-world networksHighlights the challenges encountered in analyzing community structures and presents state-of-the-art approaches designed to address these challengesSpans into various domains like business intelligence, marketing, and epidemics, examining influential node detection and crime within social networksExplores methodologies for evaluating the quality and accuracy of community detection modelsExamines a diverse range of challenges and offers innovative solutions in the field of detecting community structures from social networksThe book is a ready reference for researchers and scholars of Computer Science and Computational Social Systems working in the area of Community Structure Analysis from Social Network Data. 256 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Sajid Yousuf Bhat holds a Bachelor s and Master s degree in Computer Science from the University of Kashmir and earned his Ph.D. in Computer Science from Jamia Millia Islamia, New Delhi. He is Currently serving as a Senior Assistant .

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasizing network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. The book aims to present challenges and innovative solutions in community structure detection, incorporating diversity into problem-solving. Furthermore, it explores the applications of identified community structures within network analysis, offering insights into social network dynamics.Investigates the practical applications and uses of community structures identified from network analysis across various domains of real-world networksHighlights the challenges encountered in analyzing community structures and presents state-of-the-art approaches designed to address these challengesSpans into various domains like business intelligence, marketing, and epidemics, examining influential node detection and crime within social networksExplores methodologies for evaluating the quality and accuracy of community detection modelsExamines a diverse range of challenges and offers innovative solutions in the field of detecting community structures from social networksThe book is a ready reference for researchers and scholars of Computer Science and Computational Social Systems working in the area of Community Structure Analysis from Social Network Data.

Hardcover. Condition: new. Hardcover. This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasizing network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. The book aims to present challenges and innovative solutions in community structure detection, incorporating diversity into problem-solving. Furthermore, it explores the applications of identified community structures within network analysis, offering insights into social network dynamics.Investigates the practical applications and uses of community structures identified from network analysis across various domains of real-world networksHighlights the challenges encountered in analyzing community structures and presents state-of-the-art approaches designed to address these challengesSpans into various domains like business intelligence, marketing, and epidemics, examining influential node detection and crime within social networksExplores methodologies for evaluating the quality and accuracy of community detection modelsExamines a diverse range of challenges and offers innovative solutions in the field of detecting community structures from social networksThe book is a ready reference for researchers and scholars of Computer Science and Computational Social Systems working in the area of Community Structure Analysis from Social Network Data. This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasising network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.