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Social network analysis : an introduction with an extensive implementation to a large-scale online network using Pajek / / authored by Seifedine Kadry, School of Engineering, American University of the Middle East, Kuwait ; co-author, Mohammed Z. Al-Taie, Computer Science Department, Al-Salam University College in Baghdad, Iraq
Social network analysis : an introduction with an extensive implementation to a large-scale online network using Pajek / / authored by Seifedine Kadry, School of Engineering, American University of the Middle East, Kuwait ; co-author, Mohammed Z. Al-Taie, Computer Science Department, Al-Salam University College in Baghdad, Iraq
Autore Kadry Seifedine
Pubbl/distr/stampa Oak Park, IL : , : Bentham Science Publishers, , [2014?]
Descrizione fisica 1 online resource (130 p.)
Altri autori (Persone) Al-TaieMohammed Z
Soggetto topico Social networks - Mathematical models
Social networks - Computer simulation
Soggetto genere / forma Electronic books.
ISBN 1-60805-818-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto part I. Fundamentals -- part II. Methodology and implementation.
Record Nr. UNINA-9910464879003321
Kadry Seifedine  
Oak Park, IL : , : Bentham Science Publishers, , [2014?]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Social network analysis : an introduction with an extensive implementation to a large-scale online network using Pajek / / authored by Seifedine Kadry ; co-author, Mohammed Z. Al-Taie
Social network analysis : an introduction with an extensive implementation to a large-scale online network using Pajek / / authored by Seifedine Kadry ; co-author, Mohammed Z. Al-Taie
Autore Kadry Seifedine <1977->
Pubbl/distr/stampa Oak Park, IL : , : Bentham Science Publishers, , [2014?]
Descrizione fisica 1 online resource (130 p.)
Altri autori (Persone) Al-TaieMohammed Z
Soggetto topico Social networks - Mathematical models
Social networks - Computer simulation
ISBN 1-60805-818-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto part I. Fundamentals -- part II. Methodology and implementation.
Record Nr. UNINA-9910789113203321
Kadry Seifedine <1977->  
Oak Park, IL : , : Bentham Science Publishers, , [2014?]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Social network analysis : an introduction with an extensive implementation to a large-scale online network using Pajek / / authored by Seifedine Kadry ; co-author, Mohammed Z. Al-Taie
Social network analysis : an introduction with an extensive implementation to a large-scale online network using Pajek / / authored by Seifedine Kadry ; co-author, Mohammed Z. Al-Taie
Autore Kadry Seifedine <1977->
Pubbl/distr/stampa Oak Park, IL : , : Bentham Science Publishers, , [2014?]
Descrizione fisica 1 online resource (130 p.)
Altri autori (Persone) Al-TaieMohammed Z
Soggetto topico Social networks - Mathematical models
Social networks - Computer simulation
ISBN 1-60805-818-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto part I. Fundamentals -- part II. Methodology and implementation.
Record Nr. UNINA-9910818885003321
Kadry Seifedine <1977->  
Oak Park, IL : , : Bentham Science Publishers, , [2014?]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Understanding large temporal networks and spatial networks : exploration, pattern searching, visualization and network evolution / / Vladimir Batagelj [and three others]
Understanding large temporal networks and spatial networks : exploration, pattern searching, visualization and network evolution / / Vladimir Batagelj [and three others]
Pubbl/distr/stampa Chichester, [England] : , : Wiley, , 2014
Descrizione fisica 1 online resource (467 p.)
Disciplina 302.3
Collana Wiley Series in Computational and Quantitative Social Science
Soggetto topico Social networks - Mathematical models
Social networks - Computer simulation
ISBN 1-118-91537-2
1-118-91536-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution; Contents; Preface; 1 Temporal and Spatial Networks; 1.1 Modern Social Network Analysis; 1.2 Network Sizes; 1.3 Substantive Concerns; 1.3.1 Citation Networks; 1.3.2 Other Types of Large Networks; 1.4 Computational Methods; 1.5 Data for Large Temporal Networks; 1.5.1 The Main Datasets; 1.5.2 Secondary Datasets; 1.6 Induction and Deduction; 2 Foundations of Methods for Large Networks; 2.1 Networks; 2.1.1 Descriptions of Networks; 2.1.2 Degrees
2.1.3 Descriptions of Properties 2.1.4 Visualizations of Properties; 2.2 Types of Networks; 2.2.1 Temporal Networks; 2.2.2 Multirelational Networks; 2.2.3 Two-mode Networks; 2.3 Large Networks; 2.3.1 Small and Middle Sized Networks; 2.3.2 Large Networks; 2.3.3 Complexity of Algorithms; 2.4 Strategies for Analyzing Large Networks; 2.5 Statistical Network Measures; 2.5.1 Using Pajek and R Together; 2.5.2 Fitting Distributions; 2.6 Subnetworks; 2.6.1 Clusters, Clusterings, Partitions, Hierarchies; 2.6.2 Contractions of Clusters; 2.6.3 Subgraphs; 2.6.4 Cuts; 2.7 Connectivity Properties of Networks
2.7.1 Walks 2.7.2 Equivalence Relations and Partitions; 2.7.3 Connectivity; 2.7.4 Condensation; 2.7.5 Bow-tie Structure of the Web Graph; 2.7.6 The Internal Structure of Strong Components; 2.7.7 Bi-connectivity and κ-connectivity; 2.8 Triangular and Short Cycle Connectivities; 2.9 Islands; 2.9.1 Defining Islands; 2.9.2 Some Properties of Islands; 2.10 Cores and Generalized Cores; 2.10.1 Cores; 2.10.2 Generalized Cores; 2.11 Important Vertices in Networks; 2.11.1 Degrees, Closeness, Betweenness and Other Indices; 2.11.2 Clustering; 2.11.3 Computing Further Indices Through Functions
2.12 Transition to Methods for Large Networks 3 Methods for Large Networks; 3.1 Acyclic Networks; 3.1.1 Some Basic Properties of Acyclic Networks; 3.1.2 Compatible Numberings: Depth and Topological Order; 3.1.3 Topological Orderings and Functions on Acyclic Networks; 3.2 SPC Weights in Acyclic Networks; 3.2.1 Citation Networks; 3.2.2 Analysis of Citation Networks; 3.2.3 Search Path Count Method; 3.2.4 Computing SPLC and SPNP Weights; 3.2.5 Implementation Details; 3.2.6 Vertex Weights; 3.2.7 General Properties of Weights; 3.2.8 SPC Weights; 3.3 Probabilistic Flow in Acyclic Network
3.4 Nonacyclic Citation Networks 3.5 Two-mode Networks from Data Tables; 3.5.1 Multiplication of Two-mode Networks; 3.6 Bibliographic Networks; 3.6.1 Co-authorship Networks; 3.6.2 Collaboration Networks; 3.6.3 Other Derived Networks; 3.7 Weights; 3.7.1 Normalizations of Weights; 3.7.2 κ-Rings; 3.7.3 4-Rings and Analysis of Two-mode Networks; 3.7.4 Two-mode Cores; 3.8 Pathfinder; 3.8.1 Pathfinder Algorithms; 3.8.2 Computing the Closure Over the Pathfinder Semiring; 3.8.3 Spanish Algorithms; 3.8.4 A Sparse Network Algorithm; 3.9 Clustering, Blockmodeling, and Community Detection
3.9.1 The Louvain Method and VOS
Record Nr. UNINA-9910132176203321
Chichester, [England] : , : Wiley, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Understanding large temporal networks and spatial networks : exploration, pattern searching, visualization and network evolution / / Vladimir Batagelj [and three others]
Understanding large temporal networks and spatial networks : exploration, pattern searching, visualization and network evolution / / Vladimir Batagelj [and three others]
Pubbl/distr/stampa Chichester, [England] : , : Wiley, , 2014
Descrizione fisica 1 online resource (467 p.)
Disciplina 302.3
Collana Wiley Series in Computational and Quantitative Social Science
Soggetto topico Social networks - Mathematical models
Social networks - Computer simulation
ISBN 1-118-91537-2
1-118-91536-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution; Contents; Preface; 1 Temporal and Spatial Networks; 1.1 Modern Social Network Analysis; 1.2 Network Sizes; 1.3 Substantive Concerns; 1.3.1 Citation Networks; 1.3.2 Other Types of Large Networks; 1.4 Computational Methods; 1.5 Data for Large Temporal Networks; 1.5.1 The Main Datasets; 1.5.2 Secondary Datasets; 1.6 Induction and Deduction; 2 Foundations of Methods for Large Networks; 2.1 Networks; 2.1.1 Descriptions of Networks; 2.1.2 Degrees
2.1.3 Descriptions of Properties 2.1.4 Visualizations of Properties; 2.2 Types of Networks; 2.2.1 Temporal Networks; 2.2.2 Multirelational Networks; 2.2.3 Two-mode Networks; 2.3 Large Networks; 2.3.1 Small and Middle Sized Networks; 2.3.2 Large Networks; 2.3.3 Complexity of Algorithms; 2.4 Strategies for Analyzing Large Networks; 2.5 Statistical Network Measures; 2.5.1 Using Pajek and R Together; 2.5.2 Fitting Distributions; 2.6 Subnetworks; 2.6.1 Clusters, Clusterings, Partitions, Hierarchies; 2.6.2 Contractions of Clusters; 2.6.3 Subgraphs; 2.6.4 Cuts; 2.7 Connectivity Properties of Networks
2.7.1 Walks 2.7.2 Equivalence Relations and Partitions; 2.7.3 Connectivity; 2.7.4 Condensation; 2.7.5 Bow-tie Structure of the Web Graph; 2.7.6 The Internal Structure of Strong Components; 2.7.7 Bi-connectivity and κ-connectivity; 2.8 Triangular and Short Cycle Connectivities; 2.9 Islands; 2.9.1 Defining Islands; 2.9.2 Some Properties of Islands; 2.10 Cores and Generalized Cores; 2.10.1 Cores; 2.10.2 Generalized Cores; 2.11 Important Vertices in Networks; 2.11.1 Degrees, Closeness, Betweenness and Other Indices; 2.11.2 Clustering; 2.11.3 Computing Further Indices Through Functions
2.12 Transition to Methods for Large Networks 3 Methods for Large Networks; 3.1 Acyclic Networks; 3.1.1 Some Basic Properties of Acyclic Networks; 3.1.2 Compatible Numberings: Depth and Topological Order; 3.1.3 Topological Orderings and Functions on Acyclic Networks; 3.2 SPC Weights in Acyclic Networks; 3.2.1 Citation Networks; 3.2.2 Analysis of Citation Networks; 3.2.3 Search Path Count Method; 3.2.4 Computing SPLC and SPNP Weights; 3.2.5 Implementation Details; 3.2.6 Vertex Weights; 3.2.7 General Properties of Weights; 3.2.8 SPC Weights; 3.3 Probabilistic Flow in Acyclic Network
3.4 Nonacyclic Citation Networks 3.5 Two-mode Networks from Data Tables; 3.5.1 Multiplication of Two-mode Networks; 3.6 Bibliographic Networks; 3.6.1 Co-authorship Networks; 3.6.2 Collaboration Networks; 3.6.3 Other Derived Networks; 3.7 Weights; 3.7.1 Normalizations of Weights; 3.7.2 κ-Rings; 3.7.3 4-Rings and Analysis of Two-mode Networks; 3.7.4 Two-mode Cores; 3.8 Pathfinder; 3.8.1 Pathfinder Algorithms; 3.8.2 Computing the Closure Over the Pathfinder Semiring; 3.8.3 Spanish Algorithms; 3.8.4 A Sparse Network Algorithm; 3.9 Clustering, Blockmodeling, and Community Detection
3.9.1 The Louvain Method and VOS
Record Nr. UNINA-9910813834903321
Chichester, [England] : , : Wiley, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui