Social Network Analysis

Social Network Analysis (SNA) is an interdisciplinary area, located at the intersection of statistical machines, graph theory, social science (SS) and the recent advancements in computer science (CS) and information technology (IT). Recently, the accessibility to the enormous amount of data has given a significant impetus to exploring SNA as an academic field. This book covers the contents, keeping in mind the CS, IT and SS academic curriculum for undergraduate and fresh graduate students. The coverage of the book has the right balance of the mathematical foundations and technological aspects of social networks, along with several applications of mining social network data. This book perhaps is the first of its kind that succinctly covers a set of critical fundamental concepts (theory) and offers detailed coverage of recent advances (practice). Moreover, additional online material (source codes, datasets, blogs, exercises, etc.) accompanying the chapters along with quizzes and data challenges would strengthen the theoretical and practical skills of the students and professionals.

Author
Tanmoy Chakraborty, Assistant Professor, IIIT Delhi

Endorsed by
Jure Leskovec, Professor, Stanford University
Manish Gupta, Director, Google Research, India

Foreword by
Soumen Chakrabarti, Professor, IIT Bombay, India

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Bibliographic Information

@book{ 

                                               SNA_Tanmoy_book,

                                               author    = {Chakraborty T},

                                               title     = {Social Network Analysis},

                                               publisher = {Wiley India Pvt. Ltd.},

                                               year      = {2021},

                                               isbn      = {978-81-265-2007-7}

                                          }

With this book you get

Three Online Examinations (Successful candidates will receive e-certificates)
Participation in challenging Online Hackathon
Comprehensive Additional Reading Materials, Slides, Video Lectures

Follow the Twitter handle (@Tanmoy_Chak) of the author and subscribe to our website for frequent updates.

What do readers think?

If you care about social networks and seek to better understand their algorithmic underpinnings, then put this book on your reading list ...

Jure Leskovec

Professor, Stanford University

... Tanmoy Chakraborty has done the community a great service by creating a really comprehensive textbook on social network analysis, which can be the basis of a dedicated course ...

Manish Gupta

Director, Google Research, India

Tanmoy Chakraborty is an Assistant Professor and a Ramanujan Fellow at the Dept. of CSE., IIIT Delhi, India. Prior to this, he was a postdoctoral researcher at the University of Maryland, College Park, USA. He completed his PhD in 2015 as a Google PhD scholar at IIT Kharagpur, India. His research group, LCS2, broadly works in the areas of Social Network Analysis and Natural Language Processing with a major focus on designing data-driven solutions for cyber informatics. He is a recipient of several prestigious awards including Faculty awards/fellowships from Google, IBM, Accenture and LinkedIn. He is also involved in mentoring several tech startups. He has recently co-authored a book on "Data Science for Fake News Detection: Surveys and Perspectives". He has been appointed as a project director of the "Technology Innovation Hub", a massive initiative taken by the Govt of India.

Social Network Analysis

Tanmoy Chakraborty

Bibliographic Information

With this book you get

Table of Contents

What do readers think?

Send us your queries at
book.socialnetworkanalysis@gmail.com

Bibliographic Information

With this book you get

Table of Contents

What do readers think?

Send us your queries at book.socialnetworkanalysis@gmail.com

Send us your queries at
book.socialnetworkanalysis@gmail.com