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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yueli Zhang Marbach, P. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. of Toronto, Toronto, ON, Canada (Yueli Zhang; Marbach, P.) |
| Abstract | Over the last decade there has been growing interest in the understanding of complex networks such as the Internet, the World Wide Web and social networks. A large part of the research in this area has focused on macroscopic properties and models for complex networks such as the power law distribution of edge degrees and the small world phenomenon. Less attention has been paid to microscopic properties and models that try to model and explain the interaction and dynamics between individual vertices in a network. In this paper we discuss why such microscopic models play an important part in understanding complex networks. In particular we present examples of how microscopic generative models can be used to design efficient algorithms for complex networks. |
| Sponsorship | IEEE Inf. Theory Soc. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 557931 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479930012 |
| DOI | 10.1109/CISS.2014.6814136 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-03-19 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Microscopy Social network services Web pages Complex networks Vectors |
| Content Type | Text |
| Resource Type | Article |
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