Exploring Animal Social Networks

Social network analysis is used widely in the social sciences to study interactions among people, groups, and organizations, yet until now there has been no book that shows behavioral biologists how to apply it to their work on animal populations.Exploring Animal Social Networksprovides a practical...

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Hlavní autori:	Croft, Darren P, James, Richard, Krause, Jens
Médium:	E-kniha Kniha
Jazyk:	English
Vydavateľské údaje:	Princeton Princeton University Press 2008
Vydanie:	1
Predmet:	Animal behavior Animal societies Artificial neural network Assortative mixing Behavioral ecology Behavioural sciences Betweenness Biological network Biological Sciences Biology Calculation Captivity (animal) Case study Centrality Cluster analysis Combinatorial optimization Community structure Complex network Correspondence analysis Data collection Decision-making Degree distribution Dendrogram Disease Ecology Ecology & Evolutionary Biology Embedding Ethology Evolution Food web Foraging Inference Life Sciences Logistic regression Mantel test Mating system Matrix population models Modularity (networks) NATURE / Ecology Network model Network motif Network theory Null model P-value Parasite load Pheromone Power law Predation Probability Randomization Result Sample Size Sampling (statistics) Sampling bias Sampling error SCIENCE SCIENCE / Life Sciences / Zoology / General SCIENCE / Life Sciences / Biology Sexual selection Small-world experiment Social behavior Social behavior in animals Social environment Social group Social network Social network analysis Social organization Social relation Social science Social structure Sociality Sociobiology Sociogram Statistic Statistical hypothesis testing Test statistic The Evolution of Cooperation Toy model User interface Zoology Cluster analysis Decision-making Ethology Disease Social group Small-world experiment Foraging Behavioral ecology Result Sociality Sampling (statistics) Network theory Social behavior Mantel test Calculation Sampling bias Community structure Sampling error Sexual selection Social structure Matrix population models Pheromone Inference Sociobiology Biological network Case study Mating system Betweenness Logistic regression Sample Size Social science Parasite load Complex network Social organization Artificial neural network Social environment Embedding Biology Combinatorial optimization Randomization Food web Correspondence analysis Social relation Statistic Network model User interface Evolution The Evolution of Cooperation P-value Power law Network motif Behavioural sciences Social network analysis Captivity (animal) Test statistic Modularity (networks) Null model Centrality Probability Social network Data set Ecology Dendrogram Assortative mixing Degree distribution Toy model Sociogram Data collection Statistical hypothesis testing Predation
ISBN:	9780691127521, 0691127522, 0691127514, 9780691127514, 9781400837762, 1400837766
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Front Matter Table of Contents Preface 1: Introduction to Social Networks 2: Data Collection 3: Visual Exploration 4: Node-Based Measures 5: Statistical Tests of Node-Based Measures 6: Searching for Substructures 7: Comparing Networks 8: Conclusions Glossary of Frequently Used Terms References Index
4. Node-Based Measures 5. Statistical Tests of Node-Based Measures Cover Title Page, Copyright Contents Preface 1. Introduction to Social Networks 2. Data Collection 3. Visual Exploration References Index Glossary of Frequently Used Terms 8. Conclusions 7. Comparing Networks 6. Searching for Substructures
Cover -- Contents -- Preface -- 1. Introduction to Social Networks -- 2. Data Collection -- 3. Visual Exploration -- 4. Node-Based Measures -- 5. Statistical Tests of Node-Based Measures -- 6. Searching for Substructures -- 7. Comparing Networks -- 8. Conclusions -- Glossary of Frequently Used Terms -- A -- B -- C -- D -- E -- F -- G -- I -- L -- M -- N -- P -- R -- S -- T -- U -- W -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Z
1 Introduction to Social Networks
2 Data Collection
3 Visual Exploration
Glossary of Frequently Used Terms
4 Node-Based Measures
5 Statistical Tests of Node-Based Measures
Index
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7 Comparing Networks
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Contents
6 Searching for Substructures
8 Conclusions
References
Frontmatter --
Preface