author = { Batagelj, Vladimir AND Doreian, Patrick AND Ferligoj, Anuška Kejzar, Natasa },

title = { Understanding large temporal networks and spatial networks exploration, pattern searching, visualization and network evolution },

publisher = {Wiley},

isbn = {9780470714522},

keywords = { Social networks Mathematical models , Social networks Computer simulation , Netzwerkanalyse Soziologie , Methodologie },

year = {2014},

abstract = {Machine generated contents note: Dedication Preface 1 Temporal and spatial networks 1.1 Modern social network analysis 1.2 Network sizes 1.3 Substantive concerns 1.4 Computational methods 1.5 Data for large temporal networks 1.6 Induction and deduction 2 Foundations of methods for large networks 2.1 Networks 2.2 Types of networks 2.3 Large networks 2.4 Strategies for analyzing large networks 2.5 Statistical network measures 2.6 Subnetworks 2.7 Connectivity properties of networks 2.8 Triangular and short cycle connectivities 2.9 Islands 2.10 Cores and generalized cores 2.11 Important vertices in networks 2.12 Transition to methods for large networks 3 Methods for large networks 3.1 Acyclic networks 3.2 SPC weights in acyclic networks 3.3 Probabilistic flow in acyclic network 3.4 Nonacyclic citation networks 3.5 Two-mode networks from data tables 3.6 Bibliographic networks 3.7 Weights 3.8 Pathfinder 3.9 Clustering, blockmodeling and community detection 3.10 Clustering symbolic data 3.11 Approaches to temporal networks 3.12 Levels of analysis 3.13 Transition to substantive part 4 Scientific citation and other bibliographic networks 4.1 The centrality citation network .....},

booktitle = {Wiley series in computational and quantitative social science},

address = { Hoboke, NJ [u.a.] },

url = { http://slubdd.de/katalog?TN_libero_mab2 }