Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...
In this paper, we establish the definition of community fundamentally different from what was commonly accepted in previous studies, where communities were typically assumed to ...
— This paper presents a method for identifying a set of dense subgraphs of a given sparse graph. Within the main applications of this “dense subgraph problem”, the dense subg...
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...