A last updating evolution model for online social networks |
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Authors: | Zhan Bu Zhengyou Xia Jiandong Wang Chengcui Zhang |
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Affiliation: | 1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China;2. Computer and Information Sciences, The University of Alabama at Birmingham, USA |
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Abstract: | As information technology has advanced, people are turning to electronic media more frequently for communication, and social relationships are increasingly found on online channels. However, there is very limited knowledge about the actual evolution of the online social networks. In this paper, we propose and study a novel evolution network model with the new concept of “last updating time”, which exists in many real-life online social networks. The last updating evolution network model can maintain the robustness of scale-free networks and can improve the network reliance against intentional attacks. What is more, we also found that it has the “small-world effect”, which is the inherent property of most social networks. Simulation experiment based on this model show that the results and the real-life data are consistent, which means that our model is valid. |
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Keywords: | Online social network Evolution model Last updating time Scale-free Small-world effect |
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