| Title |
Two models of sparse and clustered dynamic networks |
| Authors |
Bloznelis, Mindaugas ; Marma, Dominykas |
| DOI |
10.1093/comnet/cnaf008 |
| Full Text |
|
| Is Part of |
Journal of complex networks.. Oxford : Oxford University Press. 2025, vol. 13, iss. 4, art. no. cnaf008, p. [1-15].. ISSN 2051-1310. eISSN 2051-1329 |
| Keywords [eng] |
dynamic network ; stationary network ; network Markov chain ; clustering coefficient |
| Abstract [eng] |
We present two models of sparse dynamic networks that display transitivity—the tendency for nodes sharing a common neighbour to be neighbours of one another. Our first network is a continuous time Markov chain whose states are graphs with the common set of nodes. Our second network is the affiliation network based on a latent Markov chain whose states are bipartite graphs where actors are linked to attributes/affiliations. Actors are adjacent in the affiliation network whenever they are linked to a common attribute. We analyse geometric properties of both dynamic networks at stationarity and show that networks possess high clustering. They admit tunable degree distribution and clustering coefficients. |
| Published |
Oxford : Oxford University Press |
| Type |
Journal article |
| Language |
English |
| Publication date |
2025 |
| CC license |
|
