Abstract
As we are in the age of big data, graph data become bigger. A big graph normally has the overwhelming numbers of edges. Existing metrics of edge centrality are not suitable for dealing with such a large graph. A novel metric for measuring the importance of edges in a graph is presented. This metric not only captures the structural feature of a graph, but also has the good scalability. The extensive experiments have demonstrated the performance of the proposed metric by comparing it with several popular metrics against real-world graphs.
| Original language | English |
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| Title of host publication | BDIOT 2017 |
| Subtitle of host publication | Proceedings of the international conference on big data and internet of things |
| Publisher | Association for Computing Machinery |
| Pages | 16-20 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450354301 |
| DOIs | |
| Publication status | Published - 20 Dec 2017 |
| Event | 2017 International Conference on Big Data and Internet of Things: BDIOT 2017 - Novotel London Blackfriars Hotel, London, United Kingdom Duration: 20 Dec 2017 → 22 Dec 2017 http://www.bdiot.org/2017.html (Conference website) https://web.archive.org/web/20170728085253/http://www.bdiot.org:80/index.html (Conference website) |
Conference
| Conference | 2017 International Conference on Big Data and Internet of Things |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 20/12/17 → 22/12/17 |
| Other | The main purpose of BDIOT 2017 is to provide an international platform for presenting and publishing the latest scientific research outcomes related to the topics of Big Data and Internet of Thing. This conference offers good opportunities for the delegates to exchange new ideas, and to establish research and/or business links, as well as to build global partnership for potential collaboration. We sincerely hope that the conference will help advance knowledge in relevant scientific and academic fields. |
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