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Towards Solving the Social Science Challenges with Computing Methods

Biljana Mileva Boshkoska

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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Preliminary Report on the Structure of Croatian Linguistic Co-occurrence Networks


Abstract: In this article, we investigate the structure of Croatian linguistic co-occurrence networks. We examine the change of network structure properties by systematically varying the co-occurrence window sizes, the corpus sizes and removing stop words. In a co-occurrence window of size n we establish a link between the current word and n – 1 subsequent words. The results point out that the increase of the co-occurrence window size is followed by a decrease in diameter, average path shortening and expectedly condensing the average clustering coefficient. The same can be noticed for the removal of the stop words. Finally, since the size of texts is reflected in the network properties, our results suggest that the corpus influence can be reduced by increasing the co-occurrence window size.

Keywords: complex networks, linguistic co-occurrence networks, Croatian corpus, stop words

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