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Data science and complex networks : real cases studies with Python /
This work guides the reader in the analysis of big-data by providing theoretical and practical instruments to tame the complexity of such systems. Together with support provided by the companion website, it constitutes a simple and useful handbook for data analysts.
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford, United Kingdom ; New York, NY :
Oxford University Press,
2016.
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 049 | |a UAMI | ||
| 100 | 1 | |a Caldarelli, Guido, |e author. | |
| 245 | 1 | 0 | |a Data science and complex networks : |b real cases studies with Python / |c Guido Caldarelli, Alessandro Chessa. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Oxford, United Kingdom ; |a New York, NY : |b Oxford University Press, |c 2016. | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource (viii, 130 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a This edition previously issued in print: 2016. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | 8 | |a This work guides the reader in the analysis of big-data by providing theoretical and practical instruments to tame the complexity of such systems. Together with support provided by the companion website, it constitutes a simple and useful handbook for data analysts. | |
| 521 | |a Specialized. | ||
| 505 | 0 | |a Cover; Preface; Contents; Introduction; 1 Food Webs; 1.1 Introduction; 1.2 Data from EcoWeb and foodweb.org; 1.3 Store and measure a graph: size, measure, and degree; 1.4 Degree sequence; 1.5 Clustering coefficient and motifs; 2 International Trade Networks and World Trade Web; 2.1 Introduction; 2.2 Data from COMTRADE; 2.3 Projecting and symmetrising a bipartite network; 2.4 Neighbour quantities: reciprocity and assortativity; 2.5 Multigraphs; 2.6 The bipartite network of products and countries; 3 The Internet Network; 3.1 Introduction; 3.2 Data from CAIDA; 3.3 Importance or centrality | |
| 505 | 8 | |a 3.4 Robustness and resilience, giant component4 World Wide Web, Wikipedia, and Social Networks; 4.1 Introduction; 4.2 Data from various sources; 4.3 Bringing order to the WWW; 4.4 Communities and Girvan-Newman algorithm; 4.5 Modularity; 5 Financial Networks; 5.1 Introduction; 5.2 Data from Yahoo! Finance; 5.3 Prices time series; 5.4 Correlation of prices; 5.5 Minimal spanning trees; 6 Modelling; 6.1 Introduction; 6.2 Exponential growth, chains, and random graph; 6.3 Random graphs; 6.4 Configuration models; 6.5 Gravity model; 6.6 Fitness model; 6.7 Barabási-Albert model | |
| 505 | 8 | |a 6.8 Reconstruction of networksReferences; Index | |
| 588 | 0 | |a Online resource; title from digital title page (viewed on March 22, 2019). | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a System analysis. | |
| 650 | 0 | |a Computer networks. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 2 | |a Systems Analysis | |
| 650 | 2 | |a Computer Communication Networks | |
| 650 | 6 | |a Analyse de systèmes. | |
| 650 | 6 | |a Réseaux d'ordinateurs. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a systems analysis. |2 aat | |
| 650 | 7 | |a SCIENCE |x System Theory. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Operations Research. |2 bisacsh | |
| 650 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Computer networks. |2 fast |0 (OCoLC)fst00872297 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 650 | 7 | |a System analysis. |2 fast |0 (OCoLC)fst01141385 | |
| 700 | 1 | |a Chessa, Alessandro, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Caldarelli, Guido. |t Data science and complex networks. |b First edition. |d Oxford : Oxford University Press, 2016 |z 9780199639601 |w (DLC) 2016949583 |w (OCoLC)960700438 |
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