Complex systems in reality (e.g., internet, WWW,sensor networks, social networks) often exhibit typicall structures as communities and functional modules. It turns out that these communities represent similar peer entities like HW systems in sensor networks, web pages with similar content, etc. On the other hand, these functional modules represent represent unconnected communities that connect to the rest of the network in a similar way (examples ionclude program constructs with similar role in networks). Analysis and understanding of such structures can therefore be very important scientifically, technologically, and in economic terms, because it can be applied to the areas like internet traffic routing, information search on the internet, propagation of infectous disseases, etc.
COBISS.SI-ID: 8239188
Aalysis of networks that represent dependency between various constructs in complex software applications shows that such networks exhibit similar properties as other networks in the real world. In addition, the analyisis of the latter shows similarity with complex software packages. Understanding such networks therefore leads to improvements of complex software packages, and information systems in general.
COBISS.SI-ID: 8368212
Trust management is one of the most intensively addresed research fileds in pervasive computing. Our methodology called Qualitative Assessment Dynamics enables users' support in a way that is aligned with cognitive specifics of a typicall user. Furhter, being a formal system it enables finding the theoretical properties of trust management problems and shows that trust management belongs to computationally hard problems (class EXP).
COBISS.SI-ID: 8554836