arXiv subjects

Shu-ichi Kinoshita

Publications and source records attributed to Shu-ichi Kinoshita.

3 recordsLinked to original sources

arXiv2024

Spatio-Temporal Differences in Bike Sharing Usage: A Tale of Six Cities

This study investigates the spatio-temporal patterns of Bike Sharing System (BSS) usage in six major cities: New York, London, Tokyo, Boston, Chicago and Washington D.C. By analyzing data over a 30-day period with comparable climate and average temperatures, we explored differences in BSS usage between weekdays and weekends in those cities using Jensen-Shannon divergence (JSD) and rank distribution analysis. Our findings reveal significant temporal differences in BSS usage that were commonly observed in all cities, with weekday patterns dominated by commute peaks and weekend patterns reflecting recreational activities. Friday emerges as a transitional day, sharing the characteristics of both weekdays and weekends. Meanwhile, docking station usage rank distributions show remarkable consistency between weekdays and weekends for most cities, with London being a unique anomaly. This study highlights the potential of BSS data to uncover urban mobility patterns and the underlying structures of cities. The results suggest that BSS usage reflects both intrinsic user behavior and external influences such as urban planning.

stat.AP↗

arXiv2018

Role of self-loop in cell-cycle network of budding yeast

Study of network dynamics is very active area in biological and social sciences. However, the relationship between the network structure and the attractors of the dynamics has not been fully understood yet. In this study, we numerically investigated the role of degenerate self-loops on the attractors and its basin size using the budding yeast cell-cycle network model. In the network, all self-loops negatively surpress the node (self-inhibition loops) and the attractors are only fixed points, i.e. point attractors. It is found that there is a simple division rule of the state space by removing the self-loops when the attractors consist only of point attractors. The point attractor with largest basin size is robust against the change of the self-inhibition loop. Furthermore, some limit cycles of period 2 appear as new attractor when a self-activation loop is added to the original network. It is also shown that even in that case, the point attractor with largest basin size is robust.

q-bio.MN↗

arXiv2007

Robustness of Attractor States in Complex Networks with Scale-free Topology

We study the intrinsic properties of attractors in the Boolean dynamics in complex network with scale-free topology, comparing with those of the so-called random Kauffman networks. We have numerically investigated the frozen and relevant nodes for each attractor, and the robustness of the attractors to the perturbation that flips the state of a single node of attractors in the relatively small network ($N=30 \sim 200$). It is shown that the rate of frozen nodes in the complex networks with scale-free topology is larger than that in the random Kauffman model. Furthermore, we have found that in the complex scale-free networks with fluctuations of in-degree number the attractors are more sensitive to the state flip of a highly connected node than to the state flip of a less connected node.

cond-mat.dis-nn↗