Towards a semantic modeling of learners for social networks

The Friend of a Friend (FOAF) ontology is a vocabulary for mapping social networks. In this paper we propose an extension to FOAF in order to allow it to model learners and their social networks. We analyse FOAF alongside different learner modeling standards and specifications, and based on this analysis we introduce a taxonomy of the different features found in those models. We then compare the learner models and FOAF against the taxonomy to see how their characteristics have been shaped by their purpose. Based on this we propose extensions to FOAF in order to produce a learner model that is capable of forming the basis of a semantic social network.<br/

Catalysts of university social responsability into strategic planning by thematic analysis and deductive coding

The relevance of higher education institutions (HEI) for social development is unquestionable because of their potential for contributing intellectual solutions for the social, economic, and environmental welfare of society. The current study aims to: 1) examine which are the main catalysts of university social responsibility (USR) from a strategic management perspective; 2) show the relations among those catalysts through semantic networks; and 3) analyse the role of university promotion of entrepreneurship. The method uses a content analysis in a sample of 23 universities and examines the subject and codes to clarify the catalysts. The semantic networks are shown to reveal these connections. It was found that a high percentage of universities orient their efforts towards enhancing the employability of students, mainly through entrepreneurial projects intended to achieve social responsibility.Postprint (author's final draft

Towards Semantic Digital Twins for Social Networks

Ponencia presentada en: Second International Workshop on Semantic Digital Twins (SeDiT 2021) and 18th Extended Semantic Web Conference (ESWC 2021)This position paper proposes a platform for the creation of digital twins for social networks as semantic digital twins for people. These are mainly aimed at simulating human behavior from a cognitive point of view. The proposal relies on a semantic data infrastructure aimed at analytical purposes, which is directly fed with real data from social networks. Summarized data and data generation methods are then combined to produce new data streams according to the analyst requirements. All these data are stored in a dynamic knowledge graph, which plays a central role in the design of the digital twins. First experiments will be conducted on two scenarios where semantic data is already available, namely: Tourism and Fashion

The relationship between the perception of advertising, FOMO, social network fatigue and privacy concerns among social network users

The aim of this study was to examine the relationship between factors of social network advertising, attitudes towards social networks, social network advertising, brands and perception of intrusiveness of social network advertising, and factors of social networks user behaviour (FOMO and privacy concerns). The research was conducted online on a sample of 212 respondents, who are digital natives aged 18 to 45. For the purpose of examining these variables the following was used in the research: a semantic differential scale taken from Elliott and Speck (1998) to measure the attitude towards advertising, an adjusted Facebook Intensity Scale (FBI scale) (Ellison et al., 2007), a questionnaire on attitudes towards brands (Bearden et al., 2011), an adjusted media intrusion scale (Li et al., 2002), the Gartner Inc. (2011) version of the social network privacy questionnaire, the Croatian version of the Fear of Missing Out Scale – FoMOs (Omajec and Čorkalo Biruški, 2020), and the Gartner Inc. (2011) version of the social media fatigue scale. The results indicate that positive attitudes towards advertising, higher levels of privacy concerns and FOMO are predictors of higher levels of social network fatigue, while attitudes towards social networks and perceptions of intrusiveness did not prove to be significant predictors of social network fatigue. The implementation of hierarchical regression analysis revealed the mediating effect of FOMO on the relationship between the attitude towards social network advertising, the attitude towards brands and social network fatigue, while the significance of mediation was verified by the Sobel test. The paper describes the findings, research limitations and offers suggestions for future research

Developing Of The Related Data Search Lsa-based Algorithm And Its Programmed Realization

In this article let\u27s consider the theoretical basis of the data search in large data ordered arrays based on the context of the search request and tracking of semantic relationships. Also the first steps towards the practical implementation of this task are proposed. Simple program to check author\u27s thoughts has been developed. All the researches have been made with the VK social network. Internal API VK was used as retrieving data tool. The final results say that the VK\u27s content has many opportunities to make them more useful and searchable, which means that it is possible to use this ‘property\u27 to create our own, more user-friendly way to search and get important data, in the first, for example, buying-selling information, from many kinds of data sources (official pages, users\u27 profiles etc.). That feature never been presented (and probably won\u27t) in other social networks like Facebook or Instagram. The material in this article will be used later while the author\u27s PhD thesis writing