python graph network analysis de al taie mohammed (17 résultats)

Hardcover. Etat : As New. 1. Auflage. Unread, like new. Immediately dispatched from Germany.

Etat : New. pp. 216.

Taschenbuch. Etat : Neu. Python for Graph and Network Analysis | Mohammed Zuhair Al-Taie (u. a.) | Taschenbuch | Advanced Information and Knowledge Processing | xiii | Englisch | 2018 | Springer | EAN 9783319850375 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Hardcover. Etat : Brand New. 203 pages. 9.50x6.25x0.75 inches. In Stock.

Paperback. Etat : Brand New. reprint edition. 220 pages. 9.25x6.10x0.51 inches. In Stock.

Etat : New. pp. 203.

Paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse andprocess data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Equips readers to practice network analysis using PythonIllustrates the complete process of network-level analysisTreats both theoretical and practical aspects of detecting cohesive groups in networksOffers a step-by-step guide on ho.

Etat : New. Print on Demand pp. 216.

Etat : New. PRINT ON DEMAND pp. 216.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities.Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse andprocess data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 220 pp. Englisch.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Equips readers to practice network analysis using PythonIllustrates the complete process of network-level analysisTreats both theoretical and practical aspects of detecting cohesive groups in networksOffers a step-by-step guide on ho.

Buch. Etat : Neu. Python for Graph and Network Analysis | Mohammed Zuhair Al-Taie (u. a.) | Buch | Advanced Information and Knowledge Processing | xiii | Englisch | 2017 | Springer | EAN 9783319530031 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities.Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse andprocess data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 220 pp. Englisch.

Etat : New. Print on Demand pp. 203.

Etat : New. PRINT ON DEMAND pp. 203.