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020 ▼a 9780438417359
035 ▼a (MiAaPQ)AAI10830255
035 ▼a (MiAaPQ)ucsb:13966
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 004
1001 ▼a Amelkin, Victor.
24510 ▼a Analysis, Modeling, and Control of Dynamic Processes in Networks.
260 ▼a [S.l.] : ▼b University of California, Santa Barbara., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 182 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
500 ▼a Adviser: Ambuj K. Singh.
5021 ▼a Thesis (Ph.D.)--University of California, Santa Barbara, 2018.
520 ▼a Dynamic network processes have surrounded people for millennia. Information spread through social networks, alliance formation in financial and organizational networks, heat diffusion through material networks, and distributed synchronization in
520 ▼a The first part of the thesis is dedicated to the design of a method for model-driven analysis of a polar opinion formation process in social networks. The core of the method is a distance measure quantifying the likelihood of a social network's
520 ▼a In the second part of the thesis, I focus on designing a model for polar opinion formation in social networks, and define a class of non-linear models that capture the dependence of the users' opinion formation behavior upon the opinions themsel
520 ▼a The third part of the thesis targets the problem of defense against social control. While the existing socio-psychological theories as well as influence maximization techniques expose the opinion formation process in social networks to external
590 ▼a School code: 0035.
650 4 ▼a Computer science.
650 4 ▼a Computer engineering.
690 ▼a 0984
690 ▼a 0464
71020 ▼a University of California, Santa Barbara. ▼b Computer Science.
7730 ▼t Dissertation Abstracts International ▼g 80-02B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0035
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999412 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자