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Network Analysis Literacy A Practical Approach to the Analysis of Networks /
This book presents a perspective of network analysis as a tool to find and quantify significant structures in the interaction patterns between different types of entities. Moreover, network analysis provides the basic means to relate these structures to properties of the entities. It has proven itse...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Vienna :
Springer Vienna : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Lecture Notes in Social Networks,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-7091-0741-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220116065220.0 | ||
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| 008 | 161026s2016 au | s |||| 0|eng d | ||
| 020 | |a 9783709107416 |9 978-3-7091-0741-6 | ||
| 024 | 7 | |a 10.1007/978-3-7091-0741-6 |2 doi | |
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| 072 | 7 | |a UXJ |2 thema | |
| 082 | 0 | 4 | |a 300.00285 |2 23 |
| 100 | 1 | |a Zweig, Katharina A. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Network Analysis Literacy |h [electronic resource] : |b A Practical Approach to the Analysis of Networks / |c by Katharina A. Zweig. |
| 250 | |a 1st ed. 2016. | ||
| 264 | 1 | |a Vienna : |b Springer Vienna : |b Imprint: Springer, |c 2016. | |
| 300 | |a XXIII, 535 p. 126 illus., 14 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Lecture Notes in Social Networks, |x 2190-5436 | |
| 505 | 0 | |a Dedication -- Preface -- Part I Introduction -- A First Encounter -- Graph Theory, Social Network Analysis, and Network Science -- Definitions -- Part II Methods -- Classic Network Analytic Measures -- Network Representations of Complex Systems -- Random Graphs and Network Models -- Random Graphs as Null Models -- Understanding and Designing Network Measures -- Centrality Indices -- Part III Literacy -- Literacy: Data Quality, Entities and Nodes -- Literacy: Relationships and Relations -- Literacy: When is a Network Model Explanatory? -- Literacy: Choosing the Best Null Model -- Literacy Interpretation -- Ethics in Network Analysis -- Appendix A - The structure and typical outlets of network analytic papers -- Appendix B - Glossary -- Appendix C - Solutions to the Problems -- Name Index -- Subject Index. | |
| 520 | |a This book presents a perspective of network analysis as a tool to find and quantify significant structures in the interaction patterns between different types of entities. Moreover, network analysis provides the basic means to relate these structures to properties of the entities. It has proven itself to be useful for the analysis of biological and social networks, but also for networks describing complex systems in economy, psychology, geography, and various other fields. Today, network analysis packages in the open-source platform R and other open-source software projects enable scientists from all fields to quickly apply network analytic methods to their data sets. Altogether, these applications offer such a wealth of network analytic methods that it can be overwhelming for someone just entering this field. This book provides a road map through this jungle of network analytic methods, offers advice on how to pick the best method for a given network analytic project, and how to avoid common pitfalls. It introduces the methods which are most often used to analyze complex networks, e.g., different global network measures, types of random graph models, centrality indices, and networks motifs. In addition to introducing these methods, the central focus is on network analysis literacy - the competence to decide when to use which of these methods for which type of question. Furthermore, the book intends to increase the reader's competence to read original literature on network analysis by providing a glossary and intensive translation of formal notation and mathematical symbols in everyday speech. Different aspects of network analysis literacy - understanding formal definitions, programming tasks, or the analysis of structural measures and their interpretation - are deepened in various exercises with provided solutions. This text is an excellent, if not the best starting point for all scientists who want to harness the power of network analysis for their field of expertise. | ||
| 650 | 0 | |a Social sciences-Data processing. | |
| 650 | 0 | |a Graph theory. | |
| 650 | 0 | |a Dynamics. | |
| 650 | 0 | |a Nonlinear theories. | |
| 650 | 0 | |a System theory. | |
| 650 | 0 | |a Data mining. | |
| 650 | 1 | 4 | |a Computer Application in Social and Behavioral Sciences. |
| 650 | 2 | 4 | |a Graph Theory. |
| 650 | 2 | 4 | |a Applied Dynamical Systems. |
| 650 | 2 | 4 | |a Complex Systems. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783709107409 |
| 776 | 0 | 8 | |i Printed edition: |z 9783709107423 |
| 776 | 0 | 8 | |i Printed edition: |z 9783709148778 |
| 830 | 0 | |a Lecture Notes in Social Networks, |x 2190-5436 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-7091-0741-6 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||