Spectral techniques have proved amongst the most effective approaches to graph clustering. However, in general they require explicit computation of the main eigenvectors of a suitable matrix (usuallythe Laplacian matrix of the graph).Recent work (e.g., Becchetti et al., SODA 2017) suggests that observing the temporal evolutionof the power...
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December 2020 (v1)Journal articleUploaded on: December 4, 2022
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July 11, 2020 (v1)Conference paper
We investigate opinion dynamics in multi-agent networks when a bias toward one of two possible opinions exists; for example, reflecting a status quo vs a superior alternative. Starting with all agents sharing an initial opinion representing the status quo, the system evolves in steps. In each step, one agent selected uniformly at random adopts...
Uploaded on: December 4, 2022 -
January 5, 2020 (v1)Conference paper
It follows from the Marcus-Spielman-Srivastava proof of the Kadison-Singer conjecture that if $G=(V,E)$ is a $\Delta$-regular dense expander then there is an edge-induced subgraph $H=(V,E_H)$ of $G$ of constant maximum degree which is also an expander. As with other consequences of the MSS theorem, it is not clear how one would explicitly...
Uploaded on: December 4, 2022 -
January 2020 (v1)Journal article
Given an underlying graph, we consider the following dynamics: Initially, each node locally chooses a value in {−1, 1}, uniformly at random and independently of other nodes. Then, in each consecutive round, every node updates its local value to the average of the values held by its neighbors, at the same time applying an elementary, local...
Uploaded on: December 4, 2022