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Inferring the underlying information propagation over online social networks is important because it leads to new insights and enables forecasting, as well as influencing information propagation. In this paper, we analyze propagation processes in online social networks, when only limited details of propagation are available. We use data crawled from Chinese largest recommendation social network --...
Deeper knowledge of social networks' structure and temporal evolution enhances data mining for both research and education purposes. An empirical analysis of a Chinese social network, Renren, shows that it follows an exponentially truncated power law in degree distribution, and has a short average node distance.
Traditional human shape classification usually adopted some key measurements, leading several problems to product ergonomic design. Multivariate analysis is able to supplement the disadvantages of traditional method. Among methods of multivariate analysis, Principal component analysis (PCA) and Factor analysis (FA) have enjoyed widespread popularity. Though both of them are to reduce the dimensions...
With the popularity of model-driven methodologies, and the abundance of modelling languages, a major question for a requirements engineer is: which language is suitable for modelling a system under study? We address this question from a semantic point-of-view for big-step modelling languages (BSMLs). BSMLs are a class of popular behavioural modelling languages in which a model can respond to an input...
The concept of groups is a natural aspect of most collaboration scenarios. Group-Centric Secure Information Sharing models (g-SIS) have been recently proposed in which users and objects are brought together to promote sharing and collaboration. Users may join, leave and re-join and objects may be added, removed and re-added. Furthermore, objects embodying new intellectual property may be created in...
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