Network inference from consensus dynamics
We consider the problem of identifying the topology of a weighted, undirected network G from observing snapshots of multiple independent consensus dynamics. Specifically, we observe the opinion profiles of a group of agents for a set of M independent topics and our goal is to recover the precise rel...
Main Authors: | Segarra, Santiago M, Schaub, Michael T, Jadbabaie-Moghadam, Ali |
---|---|
Other Authors: | Massachusetts Institute of Technology. Institute for Data, Systems, and Society |
Format: | Article |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2018
|
Online Access: | http://hdl.handle.net/1721.1/117531 |
Similar Items
-
Network Inference From Consensus Dynamics With Unknown Parameters
by: Zhu, Yu, et al.
Published: (2023) -
Blind Identification of Stochastic Block Models from Dynamical Observations
by: Schaub, Michael T, et al.
Published: (2021) -
Blind Community Detection From Low-Rank Excitations of a Graph Filter
by: Wai, Hoi-To, et al.
Published: (2021) -
Dynamic Pricing in Social Networks: The Word-of-Mouth Effect
by: Ajorlou, Amir, et al.
Published: (2020) -
An online optimization approach for multi-agent tracking of dynamic parameters in the presence of adversarial noise
by: Shahrampour, Shahin, et al.
Published: (2018)