The flux measure of influence in engineering networks
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2010
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| Online Access: | http://hdl.handle.net/1721.1/55280 |
| _version_ | 1811091184502702080 |
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| author | Schwing, Kyle Michael |
| author2 | Franz S. Hover. |
| author_facet | Franz S. Hover. Schwing, Kyle Michael |
| author_sort | Schwing, Kyle Michael |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009. |
| first_indexed | 2024-09-23T14:58:17Z |
| format | Thesis |
| id | mit-1721.1/55280 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:58:17Z |
| publishDate | 2010 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/552802019-04-12T13:27:14Z The flux measure of influence in engineering networks Schwing, Kyle Michael Franz S. Hover. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009. Cataloged from PDF version of thesis. Includes bibliographical references (p. 109-115). The objective of this project is to characterize the influence of individual nodes in complex networks. The flux metric developed here achieves this goal by considering the difference between the weighted outdegree and indegree of a node. This technique differentiates among nodes that traditional centrality measures treat as identical units. The behavior and proper interpretation of the flux metric are demonstrated on a variety of weighted and directed networks. Simulations of fluid flow, opinion sharing, epidemic dynamics, and resource allocation reveal the practical capabilities of the flux metric. An engineering design challenge may also be framed as a network analysis problem so that the the flux metric contributes to understanding the relationships among the system's subcomponents and objectives. A case study that investigates the design of autonomous underwater vehicles (AUVs) for use in the offshore oil and gas industry demonstrates these insights. In all of the applications explored here, the flux metric consistently emerges as a reliable indicator of the influence of a node. by Kyle Michael Schwing. S.M. 2010-05-25T21:14:39Z 2010-05-25T21:14:39Z 2009 2009 Thesis http://hdl.handle.net/1721.1/55280 613333708 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 115 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering. Schwing, Kyle Michael The flux measure of influence in engineering networks |
| title | The flux measure of influence in engineering networks |
| title_full | The flux measure of influence in engineering networks |
| title_fullStr | The flux measure of influence in engineering networks |
| title_full_unstemmed | The flux measure of influence in engineering networks |
| title_short | The flux measure of influence in engineering networks |
| title_sort | flux measure of influence in engineering networks |
| topic | Mechanical Engineering. |
| url | http://hdl.handle.net/1721.1/55280 |
| work_keys_str_mv | AT schwingkylemichael thefluxmeasureofinfluenceinengineeringnetworks AT schwingkylemichael fluxmeasureofinfluenceinengineeringnetworks |