User Community Discovery

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Название:User Community Discovery

Автор Paliouras, G., Papadopoulos, S., Vogiatzis, D., Kompatsiaris, Y. (Eds.)

Издательство: Springer

Серия: Human–Computer Interaction Series

Год: 2015

Страниц: 155

Язык: English

Формат: pdf

Размер: 3 Mb

Redefines community discovery in the new world of Online Social Networks and Web 2.0 applications

Provides methods to handle the complexity of multi-relational and multi-mode graphs, such as the social networks

Presents the use of state-of-the-art methods for community discovery in the Social Web, e.g. matrix factorization, hypergraph analysis, and consensus clustering.

This book redefines community discovery in the new world of Online Social Networks and Web 2.0 applications, through real-world problems and applications in the context of the Web, pointing out the current and future challenges of the field.

Particular emphasis is placed on the issues of community representation, efficiency and scalability, detection of communities in hypergraphs, such as multi-mode and multi-relational networks, characterization of social media communities and online privacy aspects of online communities.

User Community Discovery is for computer scientists, data scientists, social scientists and complex systems researchers, as well as students within these disciplines, while the connections to real-world problem settings and applications makes the book appealing for engineers and practitioners in the industry, in particular those interested in the highly attractive fields of data science and big data analytics.