Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Takaguchi, Taro"'
Autor:
Gauvin, Laetitia, Génois, Mathieu, Karsai, Márton, Kivelä, Mikko, Takaguchi, Taro, Valdano, Eugenio, Vestergaard, Christian L.
Publikováno v:
SIAM Review 64, 4 (2022) 763--830
Many dynamical systems can be successfully analyzed by representing them as networks. Empirically measured networks and dynamic processes that take place in these situations show heterogeneous, non-Markovian, and intrinsically correlated topologies a
Externí odkaz:
http://arxiv.org/abs/1806.04032
Publikováno v:
Nature Communications 10: 220 (2019)
In many data sets, crucial information on the structure and temporality of a system coexists with noise and non-essential elements. In networked systems, for instance, some edges might be non-essential or exist only by chance. Filtering them out and
Externí odkaz:
http://arxiv.org/abs/1804.08828
Publikováno v:
Phys. Rev. E 97, 062308 (2018)
We provide a general framework for analyzing degree correlations between nodes separated by more than one step (i.e., beyond nearest neighbors) in complex networks. One probability and four conditional probabilities are introduced to fully describe l
Externí odkaz:
http://arxiv.org/abs/1712.00910
Autor:
Kobayashi, Teruyoshi, Takaguchi, Taro
Publikováno v:
Journal of Banking & Finance 97, 20-36, 2018
Relationship lending is broadly interpreted as a strong partnership between a lender and a borrower. Nevertheless, we still lack consensus regarding how to quantify the strength of a lending relationship, while simple statistics such as the frequency
Externí odkaz:
http://arxiv.org/abs/1708.08594
Autor:
Kobayashi, Teruyoshi, Takaguchi, Taro
Publikováno v:
EPJ Data Science, 2018 7:15
The global financial crisis in 2007-2009 demonstrated that systemic risk can spread all over the world through a complex web of financial linkages, yet we still lack fundamental knowledge about the evolution of the financial web. In particular, inter
Externí odkaz:
http://arxiv.org/abs/1703.10832
Publikováno v:
Phys. Rev. E 96, 012312 (2017)
There is recent evidence that the $XY$ spin model on complex networks can display three different macroscopic states in response to the topology of the network underpinning the interactions of the spins. In this work, we present a novel way to charac
Externí odkaz:
http://arxiv.org/abs/1611.01330
Analysis and modeling of networked objects are fundamental pieces of modern data mining. Most real-world networks, from biological to social ones, are known to have common structural properties. These properties allow us to model the growth processes
Externí odkaz:
http://arxiv.org/abs/1609.07994
Publikováno v:
Phys. Rev. E 94, 042313 (2016)
We study the dynamical properties of human communication through different channels, i.e., short messages, phone calls, and emails, adopting techniques from neuronal spike train analysis in order to characterize the temporal fluctuations of successiv
Externí odkaz:
http://arxiv.org/abs/1603.08144
Autor:
Takaguchi, Taro, Yoshida, Yuichi
Publikováno v:
Royal Society Open Science, 3, 160270 (2016)
When we represent real-world systems as networks, the directions of links often convey valuable information. Finding module structures that respect link directions is one of the most important tasks for analyzing directed networks. Although many noti
Externí odkaz:
http://arxiv.org/abs/1603.03519
Publikováno v:
European Physical Journal B, 89, 35 (2016)
Structure of real networked systems, such as social relationship, can be modeled as temporal networks in which each edge appears only at the prescribed time. Understanding the structure of temporal networks requires quantifying the importance of a te
Externí odkaz:
http://arxiv.org/abs/1506.07032