@Article{CMR-29-3,
author = {Zhimin, Li and Jinhui, Geng},
title = {An Evolving Random Network and Its Asymptotic Structure},
journal = {Communications in Mathematical Research },
year = {2013},
volume = {29},
number = {3},
pages = {203--217},
abstract = {<p style="text-align: justify;">In this paper, we propose an evolving random network. The model is a
linear combination of preferential attachment model and uniform model. We show
that scaling limit distribution of the number of leaves at time $n$ is approximated
by normal distribution and the proportional degree sequence obeys power law. The
branching structure and maximum degree are also discussed in this paper.</p>},
issn = {2707-8523},
doi = {https://doi.org/2013-CMR-19004},
url = {https://global-sci.com/article/81793/an-evolving-random-network-and-its-asymptotic-structure}
}