The Social Amplifier-Reaction of Human Communities to Emergencies
This paper develops a methodology to aggregate signals in a network regarding some hidden state of the world. We argue that focusing on edges around hubs will under certain circumstances amplify the faint signals disseminating in a network, allowing for more efficient detection of that hidden state....
Main Authors: | Altshuler, Yaniv (Contributor), Fire, Michael (Author), Shmueli, Erez (Contributor), Elovici, Yuval (Author), Bruckstein, Alfred (Author), Lazer, David (Author), Pentland, Alex Paul (Contributor) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor) |
Format: | Article |
Language: | English |
Published: |
Springer-Verlag,
2014-02-28T19:45:52Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
How Many Makes a Crowd? On the Evolution of Learning as a Factor of Community Coverage
by: Altshuler, Yaniv, et al.
Published: (2013) -
Trade-Offs in Social and Behavioral Modeling in Mobile Networks
by: Altshuler, Yaniv, et al.
Published: (2021) -
Trade-Offs in Social and Behavioral Modeling in Mobile Networks
by: Altshuler, Yaniv, et al.
Published: (2021) -
Temporal Dynamics of Scale-Free Networks
by: Shmueli, Erez, et al.
Published: (2021) -
Temporal Dynamics of Scale-Free Networks
by: Shmueli, Erez, et al.
Published: (2021)