Zobrazeno 1 - 10
of 232
pro vyhledávání: '"Misako Takayasu"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Human mobility in an urban area is complicated; the origins, destinations, and transportation modes of each person differ. The quantitative description of urban human mobility has recently attracted the attention of researchers, and it highl
Externí odkaz:
https://doaj.org/article/fde6cd8da6284c52931e4cdb2b09b2dc
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The convenience store industry in Japan holds immense significance, making a thorough comprehension of customer purchase behaviour invaluable for companies aiming to gain insights into their customer base. In this paper, we propose a novel a
Externí odkaz:
https://doaj.org/article/42ba6bf08f2c45d985d66ae8ee129946
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract We develop a single two-layered model framework that captures and replicates both the statistical properties of the network as well as those of the intrinsic quantities of the agents. Our model framework consists of two distinct yet connecte
Externí odkaz:
https://doaj.org/article/0d2a726c325e43f187dc4207b442208f
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract We analyze the time series of hashtag numbers of social media data. We observe that the usage distribution of hashtags is characterized by a fat-tailed distribution with a size-dependent power law exponent and we find that there is a clear d
Externí odkaz:
https://doaj.org/article/e90daccb23494145867fc63da3099cb1
Publikováno v:
Mathematics, Vol 12, Iss 8, p 1244 (2024)
The trade distance is an important constraining factor underpinning the emergence of social and economic interactions of complex systems. However, agent-based studies supported by the granular analysis of distances are limited. Here, we present a com
Externí odkaz:
https://doaj.org/article/5127840b49014b19840f5466124cda9f
Publikováno v:
Physical Review Research, Vol 6, Iss 1, p 013059 (2024)
Nonlinear transport has been observed in many real systems, such as international trade, business transactions, human movement, and urban traffic. To understand the fundamental properties of transport in such systems, several models have been propose
Externí odkaz:
https://doaj.org/article/bb323d7de76d4c47975986928babe88e
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract During the COVID-19 pandemic, governments faced difficulties in implementing mobility restriction measures, as no clear quantitative relationship between human mobility and infection spread in large cities is known. We developed a model that
Externí odkaz:
https://doaj.org/article/081e649b1859419ca72ae5cdbf358a43
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)
Abstract Owing to the big data the extension of physical laws on nonmaterial has seen numerous successes, and human mobility is one of the scientific frontier topics. Recent GPS technology has made it possible to trace detailed trajectories of millio
Externí odkaz:
https://doaj.org/article/8450db487e7642209d8a4aecd78333bd
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Bursts and collective emotion have been widely studied in social physics field where researchers use mathematical models to understand human social dynamics. However, few researches recognize and separately analyze the internal and external
Externí odkaz:
https://doaj.org/article/e633508c936d401bb6f2f544b94d72c4
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-13 (2021)
Abstract To prevent the spread of the COVID-19 pandemic, governments in various countries have severely restricted the movement of people. The large amount of detailed human location data obtained from mobile phone users is useful for understanding t
Externí odkaz:
https://doaj.org/article/7a67f06c0a0e49148730a4c3ec455c6a