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Stability of Degree Distributions and Analysis of Community Structures in Social Networks

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자료유형학위논문
서명/저자사항Stability of Degree Distributions and Analysis of Community Structures in Social Networks.
개인저자Fernandez Puentes, Isabel Cristina.
단체저자명The Ohio State University. Electrical and Computer Engineering.
발행사항[S.l.]: The Ohio State University., 2019.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2019.
기본자료 저록Dissertations Abstracts International 81-06A.
Dissertation Abstract International
ISBN9781687970961
학위논문주기Thesis (Ph.D.)--The Ohio State University, 2019.
일반주기 Source: Dissertations Abstracts International, Volume: 81-06, Section: A.
Advisor: Passino, Kevin.
이용제한사항This item must not be sold to any third party vendors.
요약Recent efforts in network theory aim to characterize the structures of empirical social networks. Power-law degree distributions and highly interconnected communities are commonly observed properties in social networks. Our work focuses on closing the gap between control and network theory by introducing an unified framework that explains the emergence of these two properties from preferential attachment and assortativity mechanisms. First, we center our attention on showing that the dynamics of the complementary cumulative degree distributions can be represented as infinite dimensional time-varying linear systems. In particular, we extend the class of preferential attachment models by considering scenarios in which the number of new connections may vary as more nodes join the network. Second, we show that the models have stable invariants that capture the limit distributions of the degree of nodes. In other words, under small perturbations of initial conditions, the evolution of the degree distributions remains close to the invariant at any point in time. Finally, for networks with assortative mixing in terms of node type (homophilic relationships), we characterize the division of the network into communities. Specifically, we prove the convergence of homophily, measured at the group level and network level, and community modularity.
일반주제명Mathematics.
Electrical engineering.
Statistics.
Sociology.
Physics.
Web studies.
언어영어
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