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020 ▼a 9780438065420
035 ▼a (MiAaPQ)AAI10790687
035 ▼a (MiAaPQ)unc:17868
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 310
1001 ▼a Chakraborty, Suman.
24510 ▼a Dense Graph Limits and Applications.
260 ▼a [S.l.] : ▼b The University of North Carolina at Chapel Hill., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 170 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Advisers: Shankar Bhamidi
5021 ▼a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2018.
520 ▼a In recent years, there has been a growing need to understand large networks and to devise effective strategies to analyze them. In this dissertation, our main objectives are to understand various structural properties of large networks under sui
520 ▼a In the first part of this dissertation, we investigate properties of large networks that satisfy certain local conditions. In particular, we show that if the number of neighbors of each vertex and co-neighbors of each pair of vertices satises ce
520 ▼a In the second part of this dissertation, we study models of weighted exponential random graphs in the large network limit. These models have recently been proposed to model weighted network data arising from a host of applications including soci
520 ▼a Finally, we study site percolation on a class of non-regular graphs satisfying some mild assumptions on the number of neighbors of each vertex and co-neighbors of each pair of vertices. We show that there is a sharp phase transition (in site per
590 ▼a School code: 0153.
650 4 ▼a Statistics.
650 4 ▼a Mathematics.
690 ▼a 0463
690 ▼a 0405
71020 ▼a The University of North Carolina at Chapel Hill. ▼b Statistics and Operations Research.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0153
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997597 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자