Original Title: Social Network Analysis for startups Author: Maksim tsvetovat Alexander Kouznetsov Translator: Wang Wei Wang Chengjun Wang Ying Liu Yi name series: O 'Reilly boutique Books Series Publishing House: Machinery Industry Publishing House ISBN: 9787111423416 Release Date: June 2013 publication date: 16 open pages: 1 release: 1-1 category: more about computers> Social Network Analysis: methods and practices Preface 1 Chapter 1 Introduction 5 Relationship Analysis, understanding people and groups 6 from relationships with networks-beyond what we see 7 social networks and connections Analysis 8 informal networks power 10 terrorists and revolutionaries: social Network strength 14 Twitter Revolution 17 Chapter 2nd Graph Theory speed overview 22 What is graph 22 traversal and distance from graph 28 38 why is it important 39 6 degree theory myth 40 small world network 40 chapter 4 centralization, power and bottleneck 42 sample data 42 centralization 48 centralization measurement cannot tell us anything 64. chapter 1 faction, clustering, and group element 65 and subgraph 65 subgraph -- self-center network 69 triple 71 faction 83 hierarchical clustering 85 triple, network density and conflict 92 Chapter 2 Model Network 97 campaign funds whether to affect the theory of election 97 dimode network 100 extended multimode network 109 chapter 6th information diffusion: spread like a virus 112 virus video analysis 112 how information affects a simple dynamic model in network 119python 123 how networks and information evolve 129 chapter 7th drawing 138 medium-scale data in the Real World: traditional SQL relational database 139 big data: in the future, starting from today, 139 small data-flat files express 139 medium-scale data: database expression 143 using two-mode data work 150 social network and Big Data 152 running big data 157 Appendix A collecting data 163 appendix B installing software 173 Library Information Source: Interactive publishing network
