Practical Social Network Analysis with Python / Computer Communications and Networks (PDF)

Name: Practical Social Network Analysis with Python / Computer Communications and Networks
Brand: Springer-Verlag GmbH
SKU: 117896465
Price: 98.99 EUR
Availability: OnlineOnly

(Sprache: Englisch)

Autoren: Krishna Raj P. M. , Ankith Mohan , K. G. Srinivasa

Schreiben Sie einen Kommentar zu "Practical Social Network Analysis with Python / Computer Communications and Networks".

Practical Social Network Analysis with Python / Computer Communications and Networks, Krishna Raj P. M., Ankith Mohan, K. G. Srinivasa

Merken

Mehr zum Inhalt Autorenporträt Video

eBook (pdf) 98.99 €

Buch (Gebunden) 142.99 €

sofort als Download lieferbar

Bestellnummer: 117896465

Printausgabe 142.99 €

eBook (pdf) -31% 98.99 €

Download bestellen

Verschenken

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails

Produktinformationen zu „Practical Social Network Analysis with Python / Computer Communications and Networks (PDF)“

This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering, clustering and rule mining, as well as important theories like small world phenomenon. It also presents methods for identifying influential nodes in the network and information dissemination models. Further, it uses examples to explain the tools for visualising large-scale networks, and explores emerging topics like big data and deep learning in the context of social network analysis.

With the Internet becoming part of our everyday lives, social networking tools are used as the primary means of communication. And as the volume and speed of such data is increasing rapidly, there is a need to apply computational techniques to interpret and understand it. Moreover, relationships in molecular structures, co-authors in scientific journals, and developers in a software community can also be understood better by visualising them as networks.

This book brings together the theory and practice of social network analysis and includes mathematical concepts, computational techniques and examples from the real world to offer readers an overview of this domain.

Autoren-Porträt von Krishna Raj P. M., Ankith Mohan, K. G. Srinivasa

Dr. Krishna Raj P.M. is an Associate Professor at the Department of Information Science and Engineering at Ramaiah Institute of Technology, Bengaluru, India.

Mr. Ankith Mohan is a Research Associate at the same institution.

Dr. Srinivasa K.G. is an Associate Professor at the Department of Information Technology at Ch. Brahm Prakash Government Engineering College, Delhi, India.