Zobrazeno 1 - 10
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pro vyhledávání: '"Nakajima, Kazuki"'
The number of citations received by papers often exhibits imbalances in terms of author attributes such as country of affiliation and gender. While recent studies have quantified citation imbalance in terms of the authors' gender in journal papers, t
Externí odkaz:
http://arxiv.org/abs/2408.01900
Autor:
Nakajima, Kazuki, Uno, Takeaki
Hypergraphs are a representation of complex systems involving interactions among more than two entities and allow to investigation of higher-order structure and dynamics in real-world complex systems. Community structure is a common property observed
Externí odkaz:
http://arxiv.org/abs/2401.00688
Autor:
Nakajima, Kazuki, Shudo, Kazuyuki
Publikováno v:
ACM Transactions on Knowledge Discovery from Data, Volume 17, Issue 4, Article No. 51, pp 1-28, 2023
Analysis of social networks with limited data access is challenging for third parties. To address this challenge, a number of studies have developed algorithms that estimate properties of social networks via a simple random walk. However, most existi
Externí odkaz:
http://arxiv.org/abs/2305.12314
Publikováno v:
Journal of Informetrics, Volume 17, Issue 4, Article No. 101460, November 2023
Gender imbalance in academia has been confirmed in terms of a variety of indicators, and its magnitude often varies from country to country. Europe and North America, which cover a large fraction of research workforce in the world, have been the main
Externí odkaz:
http://arxiv.org/abs/2302.07843
Publikováno v:
Scientometrics, vol. 128, pp. 2429-2446, 2023
Modern scientific work, including writing papers and submitting research grant proposals, increasingly involves researchers from different institutions. In grant collaborations, it is known that institutions involved in many collaborations tend to de
Externí odkaz:
http://arxiv.org/abs/2206.11470
Autor:
Hashimoto, Yuta, Kawade, Haruka, Bao, WanXue, Morii, Sayaka, Nakano, Miyako, Nagae, Masamichi, Murakami, Reiko, Tokoro, Yuko, Nakashima, Misaki, Cai, Zixuan, Isaji, Tomoya, Gu, Jianguo, Nakajima, Kazuki, Kizuka, Yasuhiko
Publikováno v:
In BBA - General Subjects September 2024 1868(9)
Autor:
Nakajima, Kazuki, Shudo, Kazuyuki
Analyzing social graphs with limited data access is challenging for third-party researchers. To address this challenge, a number of algorithms that estimate structural properties via a random walk have been developed. However, most existing algorithm
Externí odkaz:
http://arxiv.org/abs/2111.11966
Publikováno v:
IEEE Transactions on Network Science and Engineering, vol. 9, no. 3, pp. 1139-1153, 2022
Many complex systems involve direct interactions among more than two entities and can be represented by hypergraphs, in which hyperedges encode higher-order interactions among an arbitrary number of nodes. To analyze structures and dynamics of given
Externí odkaz:
http://arxiv.org/abs/2106.12162
Autor:
Nakajima, Kazuki, Shudo, Kazuyuki
Accurately analyzing graph properties of social networks is a challenging task because of access limitations to the graph data. To address this challenge, several algorithms to obtain unbiased estimates of properties from few samples via a random wal
Externí odkaz:
http://arxiv.org/abs/2006.12196
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