Research Challenges of Dynamic Socio-Semantic Networks
A general model of socio-semantic network is presented in terms of state-transitions systems. We provide some examples and indicate research directions, which seem to us the most important from the application point of view.
Semantic network is an information model of knowledge domain. Objects and their relations are specified with an attributed graph. Multistripe layout is suitable for visualization of relations incident to the selected set of objects. The method provides a compact drawing that is guaranteed to avoid link crossings and label overlaps for objects and relations of corresponding subnetwork. In this paper we describe a common scheme of the multistripe layout approach and propose the way of visualization of semantic network fragments. These fragments may contain additional relations and objects in comparison with subnetworks considered earlier.
The article presents the development of the ontology for a multi-agent subsystem analysing user posts in social networks in order to identify security threats to society. The testing of multi-agent subsystem using the developed ontology is described.
The availability of large urban social media data creates new opportunities for studying cities. In our paper we propose a new direction for this research: a joint analysis of geolocations of shared images and their content as determined by computer vision. To test our ideas, we use a dataset of 47,410 Instagram images shared in the city of St.Petersburg over one year. We show how a combination of semantic clustering, image recognition and geospatial analysis can detect important patterns related to both how people use a city and how they represent in social media.
Comparative analysis of network and real-life identity explores two hypotheses: 1) aspects of identity, its different parameters may have diverse profiles for the network and the reality conditions; 2) they may also indicate gender and age differences. The study is held on the sample of 42 participants, aged from 15 to 25, who were interviewed. Gender and age differences were found referring to the social identity in the network and the reality, and for superficial identity in the network condition, as well as differences for individual and relational identity in the network and the reality conditions. Variability of the factor structure was found for the network condition in comparison with the aspects of identity in reality.