Atushi Ishikawa

dblp:173/9143 · DBLP profile ↗
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4ranked-venue papers in the field
3as first author
1since 2021 · last 2025
0000-0003-2148-2910ORCID · corroborated

Domains — venue-derived; a paper can count in several

Big Data, Cloud & Distributed Data Systems · 4 (3 first)
YearPublicationVenuePosition
2025 A Universal Scaling Law in Animal Movement: Quantifying Emergent System Properties from Big Data
Atushi Ishikawa, Shouji Fujimoto, Takayuki Mizuno
IEEE Big Data1
2017 Comparison between spatial distributions of tweet base and population in Japan
abstract
By employing tweet data with location information for roughly one year in Japan, we observed the tweet base distribution of Twitter users. We compared the tweet base distributions to the country's population distribution based on the national census and identified a strong correlation. We also observed the daily time changes of the tweet-from-base probability and compared them to the daily changes of the awake-at-home probability that was investigated by the NHK Broadcasting Culture Research Institute. The patterns of both daily time changes are very similar, especially on weekdays.
Shouji Fujimoto, Atushi Ishikawa, Takayuki Mizuno
IEEE BigData2
2016 Nowcast of firm sales using POS data toward stock market stability
abstract
By summing up the Point of Sale (POS) data of approximately 2,000 American supermarket stores from 2001 to 2012 for every company, we compared the growth rate of the POS sales data with each company's actual sales. We confirmed that the growth rate in quarterly sales for companies whose anchor products are daily necessities in the United States were strongly related to the POS data's growth rate, thus demonstrating that nowcast (real-time observation of company sales) is possible, at least for this type of business enterprise.
Atushi Ishikawa, Shouji Fujimoto, Takayuki Mizuno
IEEE BigData1
2015 The relation between firm age distributions and the decay rate of firm activities in the united states and Japan
abstract
In this study, we investigated firm activity data in 2008 and 2014 in the United States and Japan. We reconfirmed that the decay rate of firm activity does not depend on firm age in Japan. This is consistent with the observation that firm age distribution follows an exponential function in Japan. At the same time, in the United States, we found that the decay rate of young firms is high and it becomes lower and settle a constant value as firms age. From these observations, we proposed the model that follows the property observed in the decay rate of firm activity. The constant decay rate in Japan is included as a particular case in this model. The model analytically leads to firm age distribution, the young firm in which deviates from an exponential function. This analytical feature is observed in empirical data in the United States. We confirmed the consistency of this analysis comparing parameters estimated from the decay rate with those from firm age distribution.
Atushi Ishikawa, Shouji Fujimoto, Takayuki Mizuno, Tsutomu Watanabe
IEEE BigData1