Submit Search
Upload
Introduction of network analysis with Google Colaboratory -- Diffusion in Networks
•
0 likes
•
458 views
T
tm1966
Follow
Introduction of network analysis with Google Colaboratory -- Diffusion in Networks
Read less
Read more
Data & Analytics
Report
Share
Report
Share
1 of 7
Recommended
高校生・受験生のための東京工業大学オープンキャンパス2023 (2023.8.10(木)) 情報理工学院 情報工学系 研究室紹介
情報理工学院情報工学系村田研究室.pptx
情報理工学院情報工学系村田研究室.pptx
tm1966
Invited talk at ICDSOS 2021 (2021.11.13)
Networks, Deep Learning and COVID-19
Networks, Deep Learning and COVID-19
tm1966
群馬県立前橋高校オンライン出張講義(2021.11.9(火))
友人関係と感染症伝搬をネットワークで理解する
友人関係と感染症伝搬をネットワークで理解する
tm1966
Introduction to Graph Neural Networks
Graph Neural Networks
Graph Neural Networks
tm1966
Network Analysis and Visualization by Google Colaboratory
Network analysis and visualization by Google Colaboratory
Network analysis and visualization by Google Colaboratory
tm1966
Invited talk at WCTP 2020 (Nov. 21(Sat), 2020)
Networks, Deep Learning (and COVID-19)
Networks, Deep Learning (and COVID-19)
tm1966
Deep Learning Approaches for Networks (invited talk of MARAMI 2019 conference)
20191107 deeplearningapproachesfornetworks
20191107 deeplearningapproachesfornetworks
tm1966
Introduction on data analysis based on multilayer networks (in Japanese). Some references of tools, datasets, conferences and Web sites are also mentioned.
Structural data analysis based on multilayer networks
Structural data analysis based on multilayer networks
tm1966
Recommended
高校生・受験生のための東京工業大学オープンキャンパス2023 (2023.8.10(木)) 情報理工学院 情報工学系 研究室紹介
情報理工学院情報工学系村田研究室.pptx
情報理工学院情報工学系村田研究室.pptx
tm1966
Invited talk at ICDSOS 2021 (2021.11.13)
Networks, Deep Learning and COVID-19
Networks, Deep Learning and COVID-19
tm1966
群馬県立前橋高校オンライン出張講義(2021.11.9(火))
友人関係と感染症伝搬をネットワークで理解する
友人関係と感染症伝搬をネットワークで理解する
tm1966
Introduction to Graph Neural Networks
Graph Neural Networks
Graph Neural Networks
tm1966
Network Analysis and Visualization by Google Colaboratory
Network analysis and visualization by Google Colaboratory
Network analysis and visualization by Google Colaboratory
tm1966
Invited talk at WCTP 2020 (Nov. 21(Sat), 2020)
Networks, Deep Learning (and COVID-19)
Networks, Deep Learning (and COVID-19)
tm1966
Deep Learning Approaches for Networks (invited talk of MARAMI 2019 conference)
20191107 deeplearningapproachesfornetworks
20191107 deeplearningapproachesfornetworks
tm1966
Introduction on data analysis based on multilayer networks (in Japanese). Some references of tools, datasets, conferences and Web sites are also mentioned.
Structural data analysis based on multilayer networks
Structural data analysis based on multilayer networks
tm1966
Introduction of network analysis with Google Colaboratory -- Network Models
Introduction of network analysis with Google Colaboratory -- Network Models
Introduction of network analysis with Google Colaboratory -- Network Models
tm1966
Introduction of network analysis with Google Colaboratory -- Network Algorithms
Introduction of network analysis with Google Colaboratory -- Network Algorithms
Introduction of network analysis with Google Colaboratory -- Network Algorithms
tm1966
Introduction of network analysis with Google Colaboratory -- Network Metrics
Introduction of network analysis with Google Colaboratory -- Network Metrics
Introduction of network analysis with Google Colaboratory -- Network Metrics
tm1966
Introduction of network analysis with Google Colaboratory -- Example of Network Analysis and Visualization
Introduction of network analysis with Google Colaboratory -- Example of Netwo...
Introduction of network analysis with Google Colaboratory -- Example of Netwo...
tm1966
Introduction of network analysis with Google Colaboratory -- Introduction of Google Colaboratory
Introduction of network analysis with Google Colaboratory -- Introduction of ...
Introduction of network analysis with Google Colaboratory -- Introduction of ...
tm1966
tutorial slides of Google Colaboratory for network analysis on May 23, 2019
Introduction of network analysis with Google Colaboratory -- Orientation
Introduction of network analysis with Google Colaboratory -- Orientation
tm1966
20160901JWEIN
20160901 jwein
20160901 jwein
tm1966
Brief explanation of Kivela's "Multilayer Networks". http://arxiv.org/abs/1309.7233
20140925 multilayernetworks
20140925 multilayernetworks
tm1966
More Related Content
More from tm1966
Introduction of network analysis with Google Colaboratory -- Network Models
Introduction of network analysis with Google Colaboratory -- Network Models
Introduction of network analysis with Google Colaboratory -- Network Models
tm1966
Introduction of network analysis with Google Colaboratory -- Network Algorithms
Introduction of network analysis with Google Colaboratory -- Network Algorithms
Introduction of network analysis with Google Colaboratory -- Network Algorithms
tm1966
Introduction of network analysis with Google Colaboratory -- Network Metrics
Introduction of network analysis with Google Colaboratory -- Network Metrics
Introduction of network analysis with Google Colaboratory -- Network Metrics
tm1966
Introduction of network analysis with Google Colaboratory -- Example of Network Analysis and Visualization
Introduction of network analysis with Google Colaboratory -- Example of Netwo...
Introduction of network analysis with Google Colaboratory -- Example of Netwo...
tm1966
Introduction of network analysis with Google Colaboratory -- Introduction of Google Colaboratory
Introduction of network analysis with Google Colaboratory -- Introduction of ...
Introduction of network analysis with Google Colaboratory -- Introduction of ...
tm1966
tutorial slides of Google Colaboratory for network analysis on May 23, 2019
Introduction of network analysis with Google Colaboratory -- Orientation
Introduction of network analysis with Google Colaboratory -- Orientation
tm1966
20160901JWEIN
20160901 jwein
20160901 jwein
tm1966
Brief explanation of Kivela's "Multilayer Networks". http://arxiv.org/abs/1309.7233
20140925 multilayernetworks
20140925 multilayernetworks
tm1966
More from tm1966
(8)
Introduction of network analysis with Google Colaboratory -- Network Models
Introduction of network analysis with Google Colaboratory -- Network Models
Introduction of network analysis with Google Colaboratory -- Network Algorithms
Introduction of network analysis with Google Colaboratory -- Network Algorithms
Introduction of network analysis with Google Colaboratory -- Network Metrics
Introduction of network analysis with Google Colaboratory -- Network Metrics
Introduction of network analysis with Google Colaboratory -- Example of Netwo...
Introduction of network analysis with Google Colaboratory -- Example of Netwo...
Introduction of network analysis with Google Colaboratory -- Introduction of ...
Introduction of network analysis with Google Colaboratory -- Introduction of ...
Introduction of network analysis with Google Colaboratory -- Orientation
Introduction of network analysis with Google Colaboratory -- Orientation
20160901 jwein
20160901 jwein
20140925 multilayernetworks
20140925 multilayernetworks
Introduction of network analysis with Google Colaboratory -- Diffusion in Networks
1.
第14回AIツール入門講座 「Google Colaboratoryによる ネットワーク分析入門」 6. ネットワーク上の情報伝搬 SIRなどの感染モデルや、そのシミュレーションについて説明し ます。
2.
情報伝搬・病気感染のモデル化 • SNSでの口コミの情報伝搬をモデル化→限られた広告予算で、 なるべく多くの人に情報を拡散する • 病気が感染するプロセスをモデル化→爆発的感染を防ぐ •
伝搬過程のモデルと、ネットワーク構造のモデルの両方を考え る必要がある
3.
SI model • 2つの状態 •
S: susceptible (感染していない) • I : infected (感染している) • 全員が他の全員と接すると仮定 S I t x
4.
SI modelの例 • b(単位時間に接する人数)を変化させ、感染割合を表示
5.
SIR model • 3つの状態 •
S: susceptible (感染していない) • I : infected (感染している) • R: recovered (回復した) S I R 𝛾𝛿𝜏 1-𝛾𝛿𝜏 S R I
6.
NDlibによるシミュレーション • ネットワーク上の感染シミュレーションを行うライブラリ • https://ndlib.readthedocs.io/en/latest/index.html •
シミュレーションにおける入力 • 対象とするネットワーク • 𝑥0 (時刻t = 0 における状態Iの割合) • 𝛽(状態Sから状態Iに変化する確率) • 𝛾(状態Iから状態Rに変化する確率) • シミュレーションにおける出力 • 状態Sの割合(𝑠)、状態Iの割合(𝑥)、状態Rの割合(𝑟)の時間変化 • 状態Sの割合(𝑠)、状態Iの割合(𝑥)、状態Rの割合(𝑟)の各時刻での増減量
7.
NDlibによるシミュレーション例 • https://ndlib.readthedocs.io/en/latest/tutorial.htmlを参照 Jupyterでは!pip Jupyterで必要 Ndlibをimport