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Social network analytics = computati...

Dey, Nilanjan, (1984-)

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Social network analytics = computational research methods and techniques /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Social network analytics/ Nilanjan Dey, Samarjeet Borah, Rosalina Babo, Amira S. Ashour.
Reminder of title:	computational research methods and techniques /
Author:	Dey, Nilanjan,
other author:	Borah, Samarjeet,
Published:	London :Academic Press, an imprint of Elsevier, : 2019.,
Description:	1 online resource (xviii, 256 p.) :ill. (some col.)
[NT 15003449]:	Classification and analysis of Facebook metrics dataset using supervised classifiers -- An overview on social networking: design, issues, emerging trends, and security -- Emergence of stable and glassy states in dynamics of social networks -- De-anonymization techniques for social networks -- An analysis of demographic and behavior trends using social media: Facebook, Twitter, and Instagram -- Social network influence on mode choice and carpooling during special events: the case of Purdue game day -- Sentiment analysis on a set of movie reviews using deep learning techniques -- Sentiment analysis for airlines services based on twitter dataset -- Multilateral interactions and isolation in middlemen-driven network games -- The interplay of identity and social network: a methodological and empirical study -- Social networks and their uses in the field of secondary education -- NGOs' communication and youth engagement in the digital ecosystem.
Subject:	Online social networks. -
Online resource:	https://www.sciencedirect.com/science/book/9780128154588
ISBN:	9780128156414 (electronic bk.)

Social network analytics = computational research methods and techniques /
Dey, Nilanjan,1984-

Social network analyticscomputational research methods and techniques /[electronic resource] :Nilanjan Dey, Samarjeet Borah, Rosalina Babo, Amira S. Ashour. - First edition. - London :Academic Press, an imprint of Elsevier,2019. - 1 online resource (xviii, 256 p.) :ill. (some col.)

Includes bibliographical references and index.

Classification and analysis of Facebook metrics dataset using supervised classifiers -- An overview on social networking: design, issues, emerging trends, and security -- Emergence of stable and glassy states in dynamics of social networks -- De-anonymization techniques for social networks -- An analysis of demographic and behavior trends using social media: Facebook, Twitter, and Instagram -- Social network influence on mode choice and carpooling during special events: the case of Purdue game day -- Sentiment analysis on a set of movie reviews using deep learning techniques -- Sentiment analysis for airlines services based on twitter dataset -- Multilateral interactions and isolation in middlemen-driven network games -- The interplay of identity and social network: a methodological and empirical study -- Social networks and their uses in the field of secondary education -- NGOs' communication and youth engagement in the digital ecosystem.

Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more.

ISBN: 9780128156414 (electronic bk.)Subjects--Topical Terms:

624374
Online social networks.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: HM742

Dewey Class. No.: 302.30285

Social network analytics = computational research methods and techniques /
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020 $a 9780128154588 (pbk.)
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100 1 $a Dey, Nilanjan, $d 1984- $e author. $3 3462793
245 1 0 $a Social network analytics $h [electronic resource] : $b computational research methods and techniques / $c Nilanjan Dey, Samarjeet Borah, Rosalina Babo, Amira S. Ashour.
250 $a First edition.
260 $a London : $b Academic Press, an imprint of Elsevier, $c 2019.
300 $a 1 online resource (xviii, 256 p.) : $b ill. (some col.)
504 $a Includes bibliographical references and index.
505 0 $a Classification and analysis of Facebook metrics dataset using supervised classifiers -- An overview on social networking: design, issues, emerging trends, and security -- Emergence of stable and glassy states in dynamics of social networks -- De-anonymization techniques for social networks -- An analysis of demographic and behavior trends using social media: Facebook, Twitter, and Instagram -- Social network influence on mode choice and carpooling during special events: the case of Purdue game day -- Sentiment analysis on a set of movie reviews using deep learning techniques -- Sentiment analysis for airlines services based on twitter dataset -- Multilateral interactions and isolation in middlemen-driven network games -- The interplay of identity and social network: a methodological and empirical study -- Social networks and their uses in the field of secondary education -- NGOs' communication and youth engagement in the digital ecosystem.
520 $a Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more.
588 $a Description based on online resource; title from resource home page (ProQuest Ebook Central, viewed March 4, 2019).
650 0 $a Online social networks. $3 624374
650 0 $a Social sciences $x Network analysis. $3 565859
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Borah, Samarjeet, $e author. $3 3462794
700 1 $a Babo, Rosalina, $d 1967- $e author. $3 3462795
700 1 $a Ashour, Amira, $d 1975- $e author. $3 3462796
856 4 0 $u https://www.sciencedirect.com/science/book/9780128154588