activity
20142019
most citedSelf-organization on social media: endo-exo bursts and baseline fluctuations

20 citations · 30 across the 6 of their papers we have counts for

collaborators

6 papers

physics.soc-ph2019★ 8 cited

DyANE: Dynamics-aware node embedding for temporal networks

Koya Sato, Mizuki Oka, Alain Barrat +1

Low-dimensional vector representations of network nodes have proven successful to feed graph data to machine learning algorithms and to improve performance across diverse tasks. Mo…

cs.SI2019

Open-ended Evolution and a Mechanism of Novelties in Web Services

Takashi Ikegami, Yasuhiro Hashimoto, Mizuki Oka

Analogous to living ecosystems in nature, web services form an artificial ecosystem consisting of many tags and their associated media, such as photographs, movies, and web pages c…

physics.soc-ph2017★ 2 cited

Anomalous popularity growth in social tagging ecosystems

Yasuhiro Hashimoto, Mizuki Oka, Takashi Ikegami

In social tagging systems, the diversity of tag vocabulary and the popularity of such tags continue to increase as they are exposed to selection pressure derived from our cognitive…

cs.SI2016

How the nature of web services drives vocabulary creation in social tagging

Koya Sato, Mizuki Oka, Yasuhiro Hashimoto +2

A social tagging system allows users to add arbitrary strings, called "tags", on a shared resource to organize and manage information. The Yule--Simon process, which has shown the…

cs.NI2014

Dynamic Homeostasis in Packet Switching Networks

Mizuki Oka, Hirotake Abe, Takashi Ikegami

In this study, we investigate the adaptation and robustness of a packet switching network (PSN), the fundamental architecture of the Internet. We claim that the adaptation introduc…

cs.SI2014★ 20 cited

Self-organization on social media: endo-exo bursts and baseline fluctuations

Mizuki Oka, Yasuhiro Hashimoto, Takashi Ikegami

A salient dynamic property of social media is bursting behavior. In this paper, we study bursting behavior in terms of the temporal relation between a preceding baseline fluctuatio…