{"title":"Communication strategy and presence of the University Computing Centre (SRCE) on internet based social networks","authors":"Kruno Golubic, G. Kurtovic, Natasa Dobrenic","doi":"10.2498/iti.2013.0555","DOIUrl":"https://doi.org/10.2498/iti.2013.0555","url":null,"abstract":"The University Computing Centre (SRCE) established its presence on Internet based social networks in November 2009, namely on Facebook. Soon after, SRCE become present on Twitter, Google+, YouTube, LinkedIn and foursquare. Maintaining the presence and communication on social networks was initially one of the activities carried out by the SRCE Helpdesk service. However, as a result of the growing workload and responsibilities of the Helpdesk, a new service was established only for activities related to social networks. This paper discuses the communication strategy used by SRCE on social networks. The authors examined different web based tools and services to gather information about Internet users who follow SRCE's activities on different social network. A data analysis shows that the initial goals SRCE set in 2009 related to its communication strategy on social networks have been fulfilled. This data will also be used as a starting point for reconsideration of the existing communication strategy. With the emergence of new popular social networks there might be a need for expansion.","PeriodicalId":262789,"journal":{"name":"Proceedings of the ITI 2013 35th International Conference on Information Technology Interfaces","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125555548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wisdom of crowds algorithm for stock market predictions","authors":"M. Velic, Toni Grzinic, Ivan Padavic","doi":"10.2498/iti.2013.0542","DOIUrl":"https://doi.org/10.2498/iti.2013.0542","url":null,"abstract":"In this paper we present a mathematical model for collaborative filtering implementation in stock market predictions. In popular literature collaborative filtering, also known as Wisdom of Crowds, assumes that group has a greater knowledge than the individual while each individual can improve groups performance by its specific information input. There are commercially available tools for collaborative stock market predictions and patent protected web-based software solutions. Mathematics that lies behind those algorithms is not disclosed in the literature, so the presented model and algorithmic implementation are the main contributions of this work.","PeriodicalId":262789,"journal":{"name":"Proceedings of the ITI 2013 35th International Conference on Information Technology Interfaces","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131337449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}