Web 2.0 is turning current Web into social platform for knowing people and sharing information. The Web is strongly socially linked than ever. This paper takes major social tagging systems as examples, namely delicious, flickr and youtube, to analyze the social phenomena in the Social Web in order to identify the way of mediating and linking social data. A simple Upper Tag Ontology (UTO) is pro...

Randomness is a hot topic in computer science due to its important implications such as cryptography, gambling, hashing algorithms and so on. Due to the implicit determinism of computer systems, randomness can only be simulated. In order to generate reliable random sequences, IT systems have to rely on hardware random number generators. Unfortunately, these devices are not always affordable and...

This paper proposes the use of cognitive schemata to model metacognitive social phenomena, characterizing the reciprocity between micro and macro dimensions in an organization. The main idea that rationalizes this research is that explicit modeling of social cognitive constructs might improve the understanding of organizational culture and learning processes. In this sense, organizational actor...

The diffusion of information, ideas, opinions and media in a social network and the influence of individual nodes on the diffusion process are important questions in the social sciences. However, till date, there has been no method to automatically capture fine-grained social interactions between people and utilize it to better model the diffusion process. In this paper, we describe the use of ...