Towards Solving the Social Science Challenges with Computing Methods

 Taschenbuch
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ISBN-13:
9783631660188
Einband:
Taschenbuch
Erscheinungsdatum:
26.05.2015
Seiten:
133
Autor:
Biljana Mileva Boshkoska
Gewicht:
177 g
Format:
208x146x10 mm
Sprache:
Englisch
Beschreibung:

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.
Contents: Jana Suklan/Vesna Zabkar/Nadja Damij: Extending Synergy Model in the IMC Environment to n-Communication Channels - BoStjan Delak: How to identify knowledge and evaluate knowledge management in organization through information system analysis - Edo Ravnikar/Borut Luzar/Martin Ravnikar/Roman soper: The Way to Efficient Management of Complex Engineering Design - Igor Bernik: Cybercrime: what we know about perpetrators - Andrej Dobrovoljc: Towards detection of malicious threats for information systems - Blaz Rodic/Dejan Fortuna: Awareness of privacy issues in social networks - Domagoj Margan/Sanda Martincic-IpSic/Ana MeStrovic: Preliminary Report on the Structure of Croatian Linguistic Co-occurrence Networks - Lucia Nacinovic Prskalo/Sanda Martincic-IpSic: Prosodic Modelling for Croatian Speech Synthesis - UroS Mesojedec/Zoran Levnajic: Path to cloud-native applications, opportunities and challenges.
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.

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