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• W2178180590 abstract "Semenov, Alexander Principles of Social Media Monitoring and Analysis Software Jyvaskyla: University of Jyvaskyla, 2013, 92 p. (+ included articles) (Jyvaskyla Studies in Computing ISSN 1456-5390; 168) ISBN 978-951-39-5224-2 (nid.) ISBN 978-951-39-5225-9 (PDF) This thesis studies how automatic tools can be used in the monitoring and analysis of the digitally-encoded information that exists on the Internet and, more specifically, on social media sites. Social media sites already have over a billion users. In our view, the content existing within social media sites is modelling parts of the social reality, with certain limitations. For instance, not all people have access to the Internet or are represented in social media. The perception of relationships on social media sites differs from the perception of those in the immediate social reality. Also, fake virtual identities are an important aspect. Yet, there are many interesting phenomena in social reality, information about which can be gathered from social media much faster than in real life. The main objective of this thesis is to find out how automatic tools can be used to collect and analyse the data from social media sites and what their limits are. Conceptual-analytical and constructive research approaches are used to solve these problems. This thesis proposes a general three-layer modelling framework for modelling a social media environment. The first level is the social reality, as modelled by social media sites. It is captured by site ontologies. The second level is a multirelational graph structure that can be used to model any social network and its development over time at any known social media site. The third level is the persistent repository for the instances of this graph structure. The thesis presents the requirements and architecture for the social media monitoring software system that implements this framework. The software gathers data from social media sites relying on the site ontologies. These heterogeneous 1st level models are stored at the monitoring site and transformed to the 2nd level homogeneous multirelational graph structure. The 2nd level is implemented as a repository, the schema of which depends on the technology in use; but the interface is homogeneous, relying on the above graph. The thesis also establishes fundamental limits for the remote monitoring and analysis activities that are novel in the context of social media monitoring. The developed software has been used to collect real data from school-shooter networks, the entire contents of the LiveJournal.com site, and from sites in the Finnish segment of the Tor network. The software system can benefit a number of users, such as cyber police or business intelligence companies." @default.
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• W2178180590 title "Principles of social media monitoring and analysis software" @default.
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