Titlebook: Complex Networks and Their Applications VIII; Volume 2 Proceedings Hocine Cherifi,Sabrina Gaito,Luis Mateus Rocha Conference proceedings 20

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Induced Edge Samplings and Triangle Count Distributions in Large Networks The main interest is in estimating these distributions through sampling, especially for large networks. Suitable sampling schemes for this are introduced and also adapted to the situations where network access is restricted or streaming data of edges are available. Estimation under the proposed sam

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Gottlieb-Daimler-Stadion Stuttgart,ences in legal documents. In this paper, we improve topic modeling for legal case documents by using homophily networks derived from two families of references: prior cases and statute laws. We perform a detailed analysis on a rich legal case dataset in order to create these networks. The use of the

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Arena Auf Schalke Gelsenkirchen,PATE [.]. It relies on a new way of computing the free energy distance based on paths of increasing length, and scaling on large, sparse, graphs. This new approach is assessed on a real-world large-scale e-commerce payment transactions dataset obtained from a major Belgian credit card issuer. Our re

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Fritz-Walter-Stadion Kaiserslautern,nt properties of networks. However, ., i.e., networks whose edges are labeled as friendly (positive) or antagonistic (negative), are target of few of such layouts and none, to our knowledge, is able to show ., i.e., the tendency of cycles towards including an even number of negative edges, which is

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Gottlieb-Daimler-Stadion Stuttgart,archers: faculty members at the university and collaborators of these faculty members. Edges between two researchers in this network represent some sort of collaborative experience: conference publication, journal publication, or grant application. In this paper we present a study of this network an