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Based on dynamic research perspectives of time slicing, this paper shows an endeavor on mining dynamic features of the scientific teams. Traditionally the static method of network structure analysis can successfully be used to analyze the distribution of network resource structure. But it cannot be used to explore the dynamic features of research groups, because of its lacks on the influence of some...
With the social network being widely used, people would like to use the friends recommendation provided by a social websites. There are lots of methods to make the recommendation results more accurately and efficiently. By considering the feature selection strategy in the stage of data preprocessing, we propose a novel friend recommendation system using a classification model, which formulates the...
Online social networks (OSN) have become more and more popular and have accumulated a great many users. Friend recommendation can help users discover their interested friends and alleviate the problem of information overload. However, most of existing recommendation methods only consider user link or content information and hence are not effective enough to provide high quality recommendations. In...
The paper studies a method for recommendation based on community partition applying for user in social network. Firstly, the largest connected component in friend-relationship complex network are taken as the logic unit, and divide up the largest connected component into non-intersect kernel sub-network, the kernel sub-network based on The maximum complete sub-graph which has the mathematics foundation...
For the data sparsity and malicious behavior problems of traditional collaborative filtering algorithm, the paper introduces a new kind of social network-based collaborative filtering algorithm. In order to improve the accuracy of the personalized recommendation technology, we first define empty state in the state space of multi-dimensional semi-Markov processes and obtain extended multi-dimensional...
Social networks are very dynamic objects, since new edges and vertices are added to the graph over the time. Link prediction is an important task in social network analysis and is useful in many application domains. In the recent years, there is significant interest in methods that represent the social network in the form of a graph and leverage topological and semantic measures of similarity between...
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