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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Adali, S. Xiaohui Lu Magdon-Ismail, M. |
| Copyright Year | 2012 |
| Abstract | Between ness centrality measures how critical a node is to information ï¬ow in a network. A node is critical (and hence should have high betweeness) if it is on many shortest paths. Two shortcomings of such a measure are:(i) It ignores nodes on âalmost shortestâ paths, (ii) It assumes that a node can provide the same attention to information ï¬ow through each of those shortest paths, no matter how many shortest paths the node controls. There have been attempts to address these concerns in the literature, with partial success. We provide a new measure, attentive between ness centrality (ABC), that measures criticality by the amount of attention a node devotes to the information ï¬ow between other nodes. Our measure addresses both the aforementioned concerns and can be computed efï¬ciently. It performs as well or better than between ness centrality on both stylized networks and large scale real data networks, and hence provides a useful tool for measuring node criticality. |
| Starting Page | 358 |
| Ending Page | 367 |
| File Size | 860365 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781467356381 |
| DOI | 10.1109/SocialCom-PASSAT.2012.53 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-03 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Fluid flow measurement Computational modeling Conferences Social network services Electronic mail Complexity theory |
| Content Type | Text |
| Resource Type | Article |
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