LEADER 05163nam 2200613 450 001 9910132176203321 005 20200520144314.0 010 $a1-118-91537-2 010 $a1-118-91536-4 035 $a(CKB)3710000000230176 035 $a(EBL)1780727 035 $a(MiAaPQ)EBC1780727 035 $a(Au-PeEL)EBL1780727 035 $a(CaPaEBR)ebr10929009 035 $a(CaONFJC)MIL642293 035 $a(OCoLC)890377884 035 $a(PPN)192131494 035 $a(EXLCZ)993710000000230176 100 $a20140919h20142014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aUnderstanding large temporal networks and spatial networks $eexploration, pattern searching, visualization and network evolution /$fVladimir Batagelj [and three others] 210 1$aChichester, [England] :$cWiley,$d2014. 210 4$dİ2014 215 $a1 online resource (467 p.) 225 1 $aWiley Series in Computational and Quantitative Social Science 300 $aDescription based upon print version of record. 311 $a1-322-11042-5 311 $a0-470-71452-2 320 $aIncludes bibliographical references and indexes at the end of each chapters. 327 $aUnderstanding 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 327 $a2.1.3 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 327 $a2.7.1 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 ?-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 327 $a2.12 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 327 $a3.4 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 ?-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 327 $a3.9.1 The Louvain Method and VOS 330 $aThis book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns. This text identifies the social processes generating these networks and how networks have evolved. 410 0$aWiley series in computational and quantitative social science. 606 $aSocial networks$xMathematical models 606 $aSocial networks$xComputer simulation 615 0$aSocial networks$xMathematical models. 615 0$aSocial networks$xComputer simulation. 676 $a302.3 702 $aBatagelj$b Vladimir$f1948- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910132176203321 996 $aUnderstanding large temporal networks and spatial networks$92223831 997 $aUNINA