Faculty of Computer Science and Engineering

Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/5

The Faculty of Computer Science and Engineering (FCSE) within UKIM is the largest and most prestigious faculty in the field of computer science and technologies in Macedonia, and among the largest faculties in that field in the region. The FCSE teaching staff consists of 50 professors and 30 associates. These include many “best in field” personnel, such as the most referenced scientists in Macedonia and the most influential professors in the ICT industry in the Republic of Macedonia.

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Author: search.filters.author.Jovanovska, Lidija

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    Item type:Publication,
    Demographic analysis of music preferences in streaming service networks
    (Springer, Cham, 2020-02-22)
    Jovanovska, Lidija
    ;
    Evkoski, Bojan
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    ;
    As Daniel J. Levitin noted, music is a cross-cultural phenomenon, a ubiquitous activity found in every known human culture. It is indeed, a living matter that flows through cultures, which makes it a complex system potentially holding valuable information. Therefore, we model country-to-country interactions to reveal macro-level music trends. The purpose of this paper is twofold. Firstly, we explore the way specific demographic characteristics, such as language and geographic location affect the global community structure in streaming service networks. Secondly, we examine whether a clear flow of musical trends exists in the world by identifying countries who are prominent leaders on the music streaming charts. The community analysis shows that there is strong support for the first claim. Next, we find that the flow of musical trends is not strongly directional globally, although we were still able to identify prominent leaders and followers within the communities. The obtained results can further lead to the development of more sophisticated music recommendation systems, kindle new cultural studies and bring discoveries in the field of musicology.
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    Item type:Publication,
    The Geographic Flow Of Music On Spotify
    (2019)
    Jovanovska, Lidija
    ;
    ;
    As Daniel J. Levitin interestingly noted, No known human culture now or anytime in the recorded past lacked music. Therefore, the impetus behind this research paper is to model the interactions between countries in order to reveal music listening trends at a macro level. Subsequently, the framework for performing this analysis consists of techniques used in the multidisciplinary field known as Network Science. Throughout the past decade, the world has witnessed a gradual shift in the way music is listened to. In that respect, Spotify, an online music streaming service, has been the imperative giant with a user base of around 191 million. With the help of Spotify’s Application Programming Interface (API), a dataset was compiled, which contains the Weekly Top 40 streamed songs across 50 countries, in the year 2017. Through research, the team explored whether, and to which extent, do language, nationality and geographic distance influence the way global communities are formed. Furthermore, the project aimed to prove that there is a clear direction of leadership flow in the network. Until now, the acquired information supports the hypotheses that some countries do indeed follow the trends beset by others and that language and nationality play an essential role in the development of communities.
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    Item type:Publication,
    The Geographic Flow Of Music On Spotify
    (2019)
    ;
    Jovanovska, Lidija
    ;
    As Daniel J. Levitin interestingly noted, No known human culture now or anytime in the recorded past lacked music. Therefore, the impetus behind this research paper is to model the interactions between countries in order to reveal music listening trends at a macro level. Subsequently, the framework for performing this analysis consists of techniques used in the multidisciplinary field known as Network Science. Throughout the past decade, the world has witnessed a gradual shift in the way music is listened to. In that respect, Spotify, an online music streaming service, has been the imperative giant with a user base of around 191 million. With the help of Spotify’s Application Programming Interface (API), a dataset was compiled, which contains the Weekly Top 40 streamed songs across 50 countries, in the year 2017. Through research, the team explored whether, and to which extent, do language, nationality and geographic distance influence the way global communities are formed. Furthermore, the project aimed to prove that there is a clear direction of leadership flow in the network. Until now, the acquired information supports the hypotheses that some countries do indeed follow the trends beset by others and that language and nationality play an essential role in the development of communities.