MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • Singapore-MIT Alliance (SMA)
  • Computer Science (CS)
  • View Item
  • DSpace@MIT Home
  • Singapore-MIT Alliance (SMA)
  • Computer Science (CS)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Modeling Information Flow in Face-to-Face Meetings while Protecting Privacy

Author(s)
Rudolph, Larry; Zhenghao, Chen
Thumbnail
DownloadCS013.pdf (2.116Mb)
Metadata
Show full item record
Abstract
Social networks have been used to understand how information flows through an organization as well as identifying individuals that appear to have control over this information flow. Such individuals are identified as being central nodes in a graph representation of the social network and have high "betweenness" values. Rather than looking at graphs derived from email, on-line forums, or telephone connections, we consider sequences of bipartite graphs that represent face-to-face meetings between individuals, and define a new metric to identify the information elite individuals. We show that, in our simulations, individuals that attend many meetings with many different people do not always have high betweenness values, even though they seem to be the ones that control the information flow.
Date issued
2006-01
URI
http://hdl.handle.net/1721.1/30288
Series/Report no.
Computer Science (CS)
Keywords
social networks, universal hashing, privacy, information flow, pervasive computing, face-to-face meetings, models, location tracking

Collections
  • Computer Science (CS)

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.