Social Network Data Analytics

Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book.

Social Network Data Analytics

Social Network Data Analytics

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.

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Social Network Data Analytics
Language: en
Pages: 502
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2011-03-18 - Publisher: Springer Science & Business Media

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined
Big Data Analytics
Language: en
Pages: 316
Authors: Mrutyunjaya Panda, Ajith Abraham, Aboul Ella Hassanien
Categories: Business & Economics
Type: BOOK - Published: 2018-12-12 - Publisher: CRC Press

Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the
Social Network Analytics
Language: en
Pages: 267
Authors: Nilanjan Dey, Samarjeet Borah, Rosalina Babo, Amira S. Ashour
Categories: Computers
Type: BOOK - Published: 2018-11-16 - Publisher: Academic Press

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
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques
Language: en
Pages: 400
Authors: Bart Baesens, Wouter Verbeke, Veronique Van Vlasselaer
Categories: Computers
Type: BOOK - Published: 2015-08-17 - Publisher: John Wiley & Sons

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting
Big Data Analytics for Sustainable Computing
Language: en
Pages: 263
Authors: Haldorai, Anandakumar, Ramu, Arulmurugan
Categories: Computers
Type: BOOK - Published: 2019-09-20 - Publisher: IGI Global

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study

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