Towards Solving the Social Science Challenges with Computing Methods (Paperback)

Biljana Mileva Boshkoska

ISBN 10: 3631660189 / ISBN 13: 9783631660188

Published by Peter Lang AG, Bern, 2015

About this Item

Paperback. Computational Social Science is an interdisciplinary field where social science questions are investigated with modern computational tools. The book provides insight into different social problems and calls for new practices offered by computational social science, discussing methods for efficient management of complex engineering design, cybersecurity and the prediction of malicious threads of information systems. It is also a study of awareness of privacy in social networks, prosodic modelling for speech synthesis, the structure of co-occurrence networks and cloud applications. The authors propose an extension of synergy models in IMC environment to n-communication channels, and identification and evaluation of knowledge management through information system analysis. This book includes some of the latest practices from computational social science. Covering a variety of examples taken from the real-life, the book outlines the state of the art social sciences applications and their implementations with computational methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783631660188

Bibliographic Details

• Title: Towards Solving the Social Science Challenges with Computing Methods (Paperback)
• Publisher: Peter Lang AG, Bern
• Publication Date: 2015
• Language: English
• ISBN 10: 3631660189
• ISBN 13: 9783631660188
• Binding: Paperback
• Condition: new

About this title

Synopsis

Computational Social Science is an interdisciplinary field where social science questions are investigated with modern computational tools. The book provides insight into different social problems and calls for new practices offered by computational social science, discussing methods for efficient management of complex engineering design, cybersecurity and the prediction of malicious threads of information systems. It is also a study of awareness of privacy in social networks, prosodic modelling for speech synthesis, the structure of co-occurrence networks and cloud applications. The authors propose an extension of synergy models in IMC environment to n-communication channels, and identification and evaluation of knowledge management through information system analysis.

About the Author

Biljana Mileva Boshkoska is assistant professor of Computer Science, and vice dean for Education at the Faculty of Information Studies in Novo mesto (Slovenia). She holds a PhD degree from the Jožef Stefan Institute in Ljubljana.