110 citations · 662 across the 21 of their papers we have counts for
21 papers
Randomized reference models for temporal networks
Laetitia Gauvin, Mathieu Génois, Márton Karsai +4
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 h…
The structured backbone of temporal social ties
Teruyoshi Kobayashi, Taro Takaguchi, Alain Barrat
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 m…
A general formulation of long-range degree correlations in complex networks
Yuka Fujiki, Taro Takaguchi, Kousuke Yakubo
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…
Identifying relationship lending in the interbank market: A network approach
Teruyoshi Kobayashi, Taro Takaguchi
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…
Social dynamics of financial networks
Teruyoshi Kobayashi, Taro Takaguchi
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 kn…
Graph spectral characterisation of the XY model on complex networks
Paul Expert, Sarah de Nigris, Taro Takaguchi +1
There is recent evidence that the spin model on complex networks can display three different macroscopic states in response to the topology of the network underpinning the int…
Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm
Takuya Akiba, Kenko Nakamura, Taro Takaguchi
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 structur…
Input-output relationship in social communications characterized by spike train analysis
Takaaki Aoki, Taro Takaguchi, Ryota Kobayashi +1
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 an…
Cycle and flow trusses in directed networks
Taro Takaguchi, Yuichi Yoshida
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 mo…
Coverage centralities for temporal networks
Taro Takaguchi, Yosuke Yano, Yuichi Yoshida
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 stru…
Community detection in directed acyclic graphs
Leo Speidel, Taro Takaguchi, Naoki Masuda
Some temporal networks, most notably citation networks, are naturally represented as directed acyclic graphs (DAGs). To detect communities in DAGs, we propose a modularity for DAGs…
Time evolution of predictability of epidemics on networks
Petter Holme, Taro Takaguchi
Epidemic outbreaks of new pathogens, or known pathogens in new populations, cause a great deal of fear because they are hard to predict. For theoretical models of disease spreading…
Existence of outsiders as a characteristic of online communication networks
Taro Takaguchi, Takanori Maehara, Masashi Toyoda +1
Online social networking services (SNSs) involve communication activities between large number of individuals over the public Internet and their crawled records are often regarded…
Sufficient conditions of endemic threshold on metapopulation networks
Taro Takaguchi, Renaud Lambiotte
In this paper, we focus on susceptible-infected-susceptible dynamics on metapopulation networks, where nodes represent subpopulations, and where agents diffuse and interact. Recent…
Suppressing epidemics on networks by exploiting observer nodes
Taro Takaguchi, Takehisa Hasegawa, Yuichi Yoshida
To control infection spreading on networks, we investigate the effect of observer nodes that recognize infection in a neighboring node and make the rest of the neighbor nodes immun…
Observability transitions in correlated networks
Takehisa Hasegawa, Taro Takaguchi, Naoki Masuda
Yang, Wang, and Motter [Phys. Rev. Lett. 109, 258701 (2012)] analyzed a model for network observability transitions in which a sensor placed on a node makes the node and the adjace…
Bursty communication patterns facilitate spreading in a threshold-based epidemic dynamics
Taro Takaguchi, Naoki Masuda, Petter Holme
Records of social interactions provide us with new sources of data for understanding how interaction patterns affect collective dynamics. Such human activity patterns are often bur…
Self-exciting point process modeling of conversation event sequences
Naoki Masuda, Taro Takaguchi, Nobuo Sato +1
Self-exciting processes of Hawkes type have been used to model various phenomena including earthquakes, neural activities, and views of online videos. Studies of temporal networks…
Importance of individual events in temporal networks
Taro Takaguchi, Nobuo Sato, Kazuo Yano +1
Records of time-stamped social interactions between pairs of individuals (e.g., face-to-face conversations, e-mail exchanges, and phone calls) constitute a so-called temporal netwo…
Predictability of conversation partners
Taro Takaguchi, Mitsuhiro Nakamura, Nobuo Sato +2
Recent developments in sensing technologies have enabled us to examine the nature of human social behavior in greater detail. By applying an information theoretic method to the spa…
Voter model with non-Poissonian interevent intervals
Taro Takaguchi, Naoki Masuda
Recent analysis of social communications among humans has revealed that the interval between interactions for a pair of individuals and for an individual often follows a long-tail…