Collaborative tagging has been quickly gaining ground because of its ability to recruit the activity of web users into effectively organizing and sharing vast amounts of information. Here we collect data from a popular system and investigate the statistical properties of tag co-occurrence. We introduce a stochastic model of user behavior embodying two main aspects of collaborative tagging: (i) ...

Advancement of technology and the Internet proliferation have visible effects in the world. One of the most important effects is the increased social media usage among the Internet users. For this purpose, factors having impacts on users’ behavior intention to social media usage are investigated within the scope of the study. A research model based on technology acceptance model 2 is proposed a...

Representing what an intelligent agent knows or believes can be an important feature for an entity that acts in a collaborative environment. Epistemic logic programs are a clear way to reason about what an intelligent agent knows or believes, but the complexity of the reasoning is exponential. The paper presents a new kind of logic programs, the logic programs with two types of negation as fail...

The paper proposes an approach to modeling online multiplayer systems users’ behavior and segmentation in terms of usage patterns. The solutions presented, are based on analysis of time series in the real and virtual time dimension. The proposed method can be applied in the field of community platforms, virtual worlds and massively multiplayer online systems to capture quantitative characterist...

Model evolution is an essential activity in software system modeling, which is traditionally supported by manual editing or writing model transformation rules. However, this process presents challenges to those who are unfamiliar with a model transformation language or abstract syntax definitions. This demonstration presents an approach to ease the implementation of model evolution tasks by rec...