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The rapid development of social networks has woven themselves into people's daily life and become indispensable platforms with superior commercial and scientific values. Both companies and governments have discovered the potential effectiveness of employing social network users for information diffusion. Rather than only selecting a group of users who are interested in target topic, it is more beneficial...
Friendship prediction in social networks is useful for various applications, such as friend/place recommendation and privacy management. In this paper, we propose a friendship prediction approach by fusing the topology and geographical features in location based social networks (LBSNs). We investigate the features of users' relationship both online and offline and quantify the contributions of selected...
This paper combines latest research achievements of financial structure and financial crisis, with the use of Chinese listed companies' data from 2007 to 2008, and examines the impact of companies' different financial structure, especially the debt structure on their output during the subprime mortgage crisis by empirical study. The empirical results reveal that the change in output growth has remarkably...
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