Social sciences via network analysis and computation
Author(s)
Bibliographic Information
Social sciences via network analysis and computation
PL Academic Research, c2015
Available at 1 libraries
Note
Includes bibliographical references
Description and Table of Contents
Description
In recent years information and communication technologies have gained significant importance in the social sciences. Because there is such rapid growth of knowledge, methods and computer infrastructure, research can now seamlessly connect interdisciplinary fields such as business process management, data processing and mathematics. This study presents some of the latest results, practices and state-of-the-art approaches in network analysis, machine learning, data mining, data clustering and classifications in the contents of social sciences. It also covers various real-life examples such as the analysis of web sentiments, interconnections of methods for text recognition, text analysis and segmentation, information system management and decision support approaches in marketing.
Table of Contents
Contents: Jože Bučar/Janez Povh/Andrej Dobrovoljc: Web Clipping and Sentiment Analysis of Slovenian news articles – Renato Barišić/Jože Bučar: Machine Learning in Classification of News Portal Articles – Hana Rizvić/Sanda Martinčić-Ipšić/Ana Meštrović: Network Motifs Analysis of Croatian Literature – Sabina Šišović/Sanda Martinčić-Ipšić/Ana Meštrović: Toward Network-based Keyword Extraction from Multitopic Web Documents – Darko Zelenika/Andrej Dobrovoljc/Robert Pezdirc/Helena Novosel/Simon Kegljevič/Janez Povh/Bernard Ženko: Automatic invoice capture in small and medium-sized Slovenian enterprises - project report – Boštjan Delak: Information System Mirror - Approach How to Analyze Information System Strengths and Weaknesses within Organization – Stefana Janicijevic/Dragan Urosevic/Nenad Mladenovic: Comparison of SAS/STAT Procedures and Variable Neighborhood Search Based Clustering Applied on Telekom Serbia Data – Rok Piltaver/Mitja Luštrek/Matjaž Gams/Sanda Martinčić-Ipšić: Measuring Classification-Tree Comprehensibility – Borut Lužar/Mirko Petruševski/Riste Škrekovski: On vertex-parity and weak vertex-parity edge-colorings – Vesna Andova/František Kardoš/Riste Škrekovski: Diameter on some classes of fullerene graphs.
by "Nielsen BookData"