Network Inference From Consensus Dynamics With Unknown Parameters

@article{Zhu2020NetworkIF,
  title={Network Inference From Consensus Dynamics With Unknown Parameters},
  author={Yu Zhu and M. T. Schaub and A. Jadbabaie and Santiago Segarra},
  journal={IEEE Transactions on Signal and Information Processing over Networks},
  year={2020},
  volume={6},
  pages={300-315}
}
We explore the problem of inferring the graph Laplacian of a weighted, undirected network from snapshots of a single or multiple discrete-time consensus dynamics, subject to parameter uncertainty, taking place on the network. Specifically, we consider three problems in which we assume different levels of knowledge about the diffusion rates, observation times, and the input signal power of the dynamics. To solve these underdetermined problems, we propose a set of algorithms that leverage the… Expand
11 Citations
Network Topology Inference with Graphon Spectral Penalties.
  • PDF
Exact Blind Community Detection From Signals on Multiple Graphs
  • 7
  • PDF
Joint Inference of Multiple Graphs from Matrix Polynomials
  • 1
  • PDF
Blind Inference of Eigenvector Centrality Rankings
  • PDF
Blind Inference of Centrality Rankings from Graph Signals
  • T. Roddenberry, Santiago Segarra
  • Computer Science, Engineering
  • ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2020
  • 6
  • PDF
Blind Demixing of Diffused Graph Signals
  • PDF
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering
  • 1
  • PDF
Impact of Community Structure on Consensus Machine Learning
  • PDF
On the Impact of Random Actions on Opinion Dynamics
  • PDF
...
1
2
...

References

SHOWING 1-10 OF 53 REFERENCES
Network inference from consensus dynamics
  • 20
  • PDF
Joint inference of networks from stationary graph signals
  • 12
Network Topology Inference from Spectral Templates
  • 156
  • PDF
Network topology inference from non-stationary graph signals
  • 35
  • PDF
Identifying the Topology of Undirected Networks From Diffused Non-Stationary Graph Signals
  • 21
  • PDF
Estimation of Network Processes via Blind Graph Multi-filter Identification
  • 4
Topology Identification of Directed Dynamical Networks via Power Spectral Analysis
  • 65
  • PDF
Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals
  • 101
  • PDF
Graph Learning From Data Under Laplacian and Structural Constraints
  • 141
...
1
2
3
4
5
...