2026-03-15T05:20:14Z https://kindai.repo.nii.ac.jp/oai

oai:kindai.repo.nii.ac.jp:02000823 2024-05-30T06:02:31Z 14:923:1363:1709083823008

イベント・サブポピュレーションによる友人・知人数推定と推定法の改良─新型コロナウイルス感染者数と東日本大震災死亡者数を手がかりに─ An Estimation of the Number of Friends and Acquaintances using Event Subpopulation and a Revision of the Estimation Model: By the Number of those Who were Infected with COVID-19 and Who Died from The Great East Japan Earthquake 辻, 竜平 TSUJI, Ryuhei 近畿大学 Kindai Universsity size of personal networks event subpopulation COVID-19 The Great East Japan Earthquake biased network model inbreeding bias The size of personal networks, i.e., the number of friends and acquaintances, is estimated using the event subpopulation of those who were infected with COVID-19 or who died from The Great East Japan Earthquake. However, the estimated size widely differed by how we set the population. So, the model was modified using the biased network model, where the inbreeding bias parameter moves between 0 and 1. The estimated size of personal networks tends to be larger when the bias is low and smaller when the bias is high. Although the estimates became more plausible, the exact value of the inbreeding parameter is still not well-determined. 専攻: 数理・軽量社会学、社会ネットワーク分析 近畿大学総合社会学部 2024-03-31 jpn departmental bulletin paper AM https://doi.org/10.15100/0002000823 https://kindai.repo.nii.ac.jp/records/2000823 10.15100/0002000823 21866260 近畿大学総合社会学部紀要：総社る Kindai Applied Sociology Review : Social 12 2 65 73 https://kindai.repo.nii.ac.jp/record/2000823/files/AA1253453X-20240331-0065.pdf application/pdf