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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IN, IA
(Joint)
2022-12-13
09:50
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
A Study on Obfuscation of Node Centrality in Large-Scale Networks
Hiroki Kawamura, Takeaki Iwata, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.)
(To be available after the conference date) [more]
IN, IA
(Joint)
2022-12-13
10:40
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
A Study on Effect of Laziness of Random Walk on Efficiency of Graph Exploration in Dynamic Graphs
Daiki Nakagawa, Takeaki Iwata, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.)
(To be available after the conference date) [more]
IN, IA
(Joint)
2021-12-17
12:40
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
[Short Paper] A Study on First Passage Time and Cover Time of Non-backtracking Random Walk on a Graph
Tetsuya Kawagishi, Jo Hagikura, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-41
Recently, mathematical properties of random walks on a graph have been studied.
Also, several extended models of a simp... [more]
IA2021-41
pp.56-59
IN, IA
(Joint)
2021-12-17
12:55
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
[Short Paper] Study on the Separability of Aggregated Multilayer Networks
Rong Wang, Yuki Wakisaka, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-42
Many real networks consist of heterogeneous networks with different properties, and these heterogeneous networks interac... [more] IA2021-42
pp.60-62
IN, IA
(Joint)
2021-12-17
17:55
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
[Short Paper] A Study on the Effect of Network Topology Coarsening on QoS of Communication Networks
Hiroyoshi Sawano, Takeaki Iwata, Keita Kitaura, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-50
 [more] IA2021-50
pp.97-99
IN, IA
(Joint)
2021-12-17
18:10
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
[Short Paper] Study on Improving the Characteristics of Random Walk on Graph using Q-learning
Tomoyuki Miyashita, Taisei Suzuki, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-51
In recent years, modeling mobile agent on unknown graphs, such as random walks on graphs and understanding its mathemati... [more] IA2021-51
pp.100-103
CQ, MIKA
(Joint)
2021-09-09
11:35
Online Online On the Effectiveness of Breadth-First Search for Influence Maximization on Unknown Networks
Yuki Wakisaka, Ryotaro Matsuo (Kwansei Gakuin Univ.), Sho Tsugawa (Tsukuba Univ.), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) CQ2021-42
Recently, the influence maximization problem for unknown networks has received much attention. The problem aims to ident... [more] CQ2021-42
pp.29-34
IA 2021-09-08
10:05
Online Online On Accelerating Parallel Random Walks with Loose Cooperation
Jo Hagikura, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-15
 [more] IA2021-15
pp.1-6
IA 2021-09-08
10:30
Online Online Random Walk on Graphs with Vicinity Avoidance
Keita Kitaura, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-16
A random walk on a graph is a mathematical mobility model that extends a random walk on a line or a plane to a graph. In... [more] IA2021-16
pp.7-13
IA, ICSS 2021-06-22
11:15
Online Online A Solution for Recovering Missing Links in Network Topology using Sparse Modeling
Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-14 ICSS2021-14
In recent years, sparse modeling, which is a statistical approach, has been applied to many practical problems mostly in... [more] IA2021-14 ICSS2021-14
pp.74-79
IA 2020-10-01
13:15
Online Online A Study on Recovering Network Topology with Missing Links using Sparse Modeling
Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2020-3
In recent years, sparse modeling, which is a statistical approach, has been applied to many practical problems mostly in... [more] IA2020-3
pp.10-13
IA 2020-10-01
16:25
Online Online [Poster Presentation] A Study on Topology Estimation from Observed Network Flows
Keita Kitaura, Ryotaro Matsuo (Kwansei Gakuin Univ.), Ryo Nakamura (Fukuoka Univ.), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2020-11
Acquisition and estimation of topologies of large-scale evolving networks
such as communication networks and social net... [more]
IA2020-11
p.31
ICSS, IA 2018-06-26
09:50
Ehime Ehime University Proposal of Sparse-Modeling based Approach for Betweenness Centrality Estimation
Ryotaro Matsuo, Ryo Nakamura, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2018-10 ICSS2018-10
In recent years, a statistical approach for estimating unobserved model parameters from a small number of observations u... [more] IA2018-10 ICSS2018-10
pp.61-66
IA 2017-11-15
16:05
Overseas KMITL, Bangkok, Thailand A Solution of Minimum Link Flow Problem with Sparse Modeling -- Formulation and Preliminary Results --
Ryotaro Matsuo, Ryo Nakamura, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2017-34
In recent years, a statistical approach for estimating unobserved model parameters from a small number of observations u... [more] IA2017-34
pp.23-26
IA, ICSS 2017-06-09
09:55
Kochi Kochi University of Technolo, Eikokuji Campus A Solution for Minimum Link Flow Problem with Sparse Modeling
Ryotaro Matsuo, Ryo Nakamura, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2017-10 ICSS2017-10
In recent years, a statistical approach for estimating unobserved model parameters from a small number of measurements u... [more] IA2017-10 ICSS2017-10
pp.53-58
 Results 1 - 15 of 15  /   
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