MS-Mo-E-42
Characterizing complex networks through dynamics

Date: August 10
Time: 16:00--18:30
Room: 301A

(Note: Click title to show the abstract.)

Organizer:
Miura, Keiji (Kwansei Gakuin Univ.)
Hasegawa, Takehisa (Ibaraki Univ.)

Abstract: The goal of this session is to provide panoramic viewpoints on analyses of complex networks in the real world. Here we focus on the dynamics on the complex networks as latest advances. The topics include percolation, statistical mechanics, evolving neural networks, Hodge-Kodaira decomposition and temporal networks.


MS-Mo-E-42-1
16:00--16:30
Recent Problems of Network Science
Hasegawa, Takehisa (Ibaraki Univ.)


MS-Mo-E-42-2
16:30--17:00
Scaling of Hodge-Kodaira decomposition distinguishes learning rules of neural networks
Miura, Keiji (Kwansei Gakuin Univ.)
Aoki, Takaaki (Kagawa Univ.)


MS-Mo-E-42-3
17:00--17:30
Network organization as a dynamical system
Aoki, Takaaki (Kagawa Univ.)


MS-Mo-E-42-4
17:30--18:00
Phase behavior of bond percolation on hierarchical small-world networks
Nogawa, Tomoaki (Toho Univ.)


MS-Mo-E-42-5
18:00--18:30
Mining temporal patterns in time-varying social networks
Takaguchi, Taro (National Inst. of Informatics)

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Footnote:
Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA