We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Abstract. JeromeDL is a Semantic Digital Library engine. It uses Semantic Web and Social Networking technologies to improve browsing and searching for resources. With JeromeDL’s ...
Sebastian Ryszard Kruk, Tomasz Woroniecki, Adam Gz...
Social Network Analysis has emerged as a key paradigm in modern sociology, technology, and information sciences. The paradigm stems from the view that the attributes of an individ...