Multigroup connectivity structures and their implications
Bibliographic Data
| ID | 6161532 |
|---|---|
| Authors | Shadi Mohagheghi (0000-0002-1863-4728), Pushkarini Agharkar, N E Friedkin (0000-0001-7826-993X, University of California, Santa Barbara), Francesco Bullo (0000-0002-4785-2118, University of California, Santa Barbara) |
| Year | 2019 |
| Volume | 7 |
| Issue | 4 |
| Pages | 459-475 |
| Publication date | 2019-11-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | PREPRINT |
| Venue | Network Science (JOURNAL) |
| Journal identifiers | ISSN: 2050-1250 • E-ISSN: 2050-1242 |
| Publisher | Cambridge University Press (PUBLISHER • US) |
| DOI | 10.1017/nws.2019.22 |
| OpenAlex | W2971625632 |
| Language | EN |
| References cited | 39 |
We investigate the implications of different forms of multigroup connectivity. Four multigroup connectivity modalities are considered: co-memberships, edge bundles, bridges, and liaison hierarchies. We propose generative models to generate these four modalities. Our models are variants of planted partition or stochastic block models conditioned under certain topological constraints. We report findings of a comparative analysis in which we evaluate these structures, controlling for their edge densities and sizes, on mean rates of information propagation, convergence times to consensus, and steady-state deviations from the consensus value in the presence of noise as network size increases
Combinatorics · Convergence (economics · Enhanced Data Rates for GSM Evolution · Generative grammar · Group (periodic table · Modalities · Partition (number theory · Physics · Complex Network Analysis Techniques · Computer Science · Evolutionary Game Theory and Cooperation · Mathematics · Opinion Dynamics and Social Influence · Artificial Intelligence · Theoretical Computer Science
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| Citation velocity | historical |
|---|---|
| Highly cited | No |