Edition |
First edition. |
Description |
1 online resource (viii, 130 pages) : illustrations |
Physical Medium |
polychrome |
Description |
text file |
Note |
This edition previously issued in print: 2016. |
Bibliography |
Includes bibliographical references and index. |
Summary |
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. |
Audience |
Specialized. |
Contents |
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 |
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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 |
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6.8 Reconstruction of networksReferences; Index |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Subject |
System analysis.
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System analysis. |
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Computer networks.
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Computer networks. |
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Big data.
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Big data. |
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Python (Computer program language)
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Python (Computer program language) |
Genre/Form |
Electronic books.
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Added Author |
Chessa, Alessandro, author.
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Other Form: |
Print version: Caldarelli, Guido. Data science and complex networks. First edition. Oxford : Oxford University Press, 2016 9780199639601 (DLC) 2016949583 (OCoLC)960700438 |
ISBN |
9780191782916 (electronic book) |
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0191782912 (electronic book) |
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9780191024023 (electronic book) |
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0191024023 (electronic book) |
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9780199639601 |
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0199639604 |
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