Eigenbehaviors: Identifying Structure in Routine
Longitudinal behavioral data generally contains a significant amount of structure. In this work, we identify the structure inherent in daily behavior with models that can accurately analyze, predict, and cluster multimodal data from individuals and communities within the social network of a populati...
Main Authors: | Pentland, Alex Paul, Eagle, Nathan N. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Media Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Springer Berlin Heidelberg
2009
|
Online Access: | http://hdl.handle.net/1721.1/49446 https://orcid.org/0000-0002-8053-9983 |
Similar Items
-
Inferring friendship network structure by using mobile phone data
by: Eagle, Nathan N., et al.
Published: (2010) -
Reply to Adams: Multi-Dimensional Edge Interference
by: Eagle, Nathan N., et al.
Published: (2011) -
Top-Down, Routinized Reform in Low-Income, Rural Schools
by: Robert Bickel, et al.
Published: (2000-02-01) -
A grammatical model of organizational routines in a technical service organization
by: Pentland, Brian T., et al.
Published: (2009) -
Identifying Close Friendships in a Sensed Social Network
by: Oloritun, Rahman O., et al.
Published: (2014)