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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
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.) IA2022-55
Node centrality (e.g., degree centrality, eigenvector centrality, betweenness centrality), which is determined by the ne... [more] IA2022-55
pp.40-46
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
14:20
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Analysis of the Time Evolution of Influence and Spreading Power of Twitter Users
Minami Uehara, Sho Tsugawa (Univ. of Tsukuba) CQ2019-154
For a successful viral marketing campaign on social media, it is important to spread information to many users. The siz... [more] CQ2019-154
pp.101-106
CQ 2018-07-20
15:45
Miyagi Tohoku Univ. An Analysis of the Evolution of Influence of Central Users on Social Media
Minami Uehara, Sho Tsugawa (Tsukuba univ.) CQ2018-44
Finding influencers who can spread information to many other users on social media is important for several application ... [more] CQ2018-44
pp.75-80
CQ
(2nd)
2018-01-20
12:50
Tokyo Nishiwaseda Campus, Waseda Univ. [Poster Presentation] An Analysis on the Relation between Degree Centrality of Nodes and their Future Influence in Social Networks
Minami Uehara, Sho Tsugawa (Tsukuba Univ.)
Identifying influential nodes in a social network is a fundamental research task in the network science research field. ... [more]
CQ 2018-01-18
10:45
Tokyo NII On the Effectiveness of Influence Measures for Identifying Influencers and their Correlations in Social Networks
Shumpei Takemura, Sho Tsugawa (UoT) CQ2017-88
Identifying influential nodes in social networks is one of the important research topics in the field of network science... [more] CQ2017-88
pp.17-22
MSS, CAS, SIP, VLD 2015-06-17
13:45
Hokkaido Otaru University of Commerce The characteristic of routes selected by degree centrality-aware distance vector routing
Yoshihiro Kaneko (Gifu Univ.) CAS2015-8 VLD2015-15 SIP2015-39 MSS2015-8
In the research area of ad-hoc network, distance vector-type routing is fundamental. This network requires no fixed infr... [more] CAS2015-8 VLD2015-15 SIP2015-39 MSS2015-8
pp.43-48
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-09
14:20
Hokkaido Hokkaido University The rank difference of subgraph centrality among local graphs
Kesisuke Watanabe, Ishii Yuuhei, Yoshihiro Kaneko (Gifu Univ.) CAS2014-12 VLD2014-21 SIP2014-33 MSS2014-12 SIS2014-12
For centrality measure of nodes in a network system, we consider how correctly it is that each node guesses how central ... [more] CAS2014-12 VLD2014-21 SIP2014-33 MSS2014-12 SIS2014-12
pp.55-58
CQ, MVE, IE, IMQ, CEA
(Joint) [detail]
2014-03-07
14:15
Oita Beppu International Convention Center Graph Entropy as a Measure for Estimating Robustness of Centrality Measures against Imperfections of Graphs
Masanori Ishino (Osaka Univ.), Sho Tsugawa (Univ. of Tsukuba), Hiroyuki Ohsaki (Kwansei Gakuin Univ.), Toru Hasegawa (Osaka Univ.) CQ2013-101
Complex network analysis has been actively pursued to investigate the characteristics of large-scale complex networks. G... [more] CQ2013-101
pp.71-76
IN 2012-01-26
14:55
Hokkaido Asahikawa-Terminal-Hotel On the Robustness of Centrality Measures against Link Weight Quantization in Social Network Analysis
Yukihiro Matsumoto, Sho Tsugawa, Hiroyuki Ohsaki, Makoto Imase (Osaka Univ) IN2011-124
Researches on social network analyses have been actively performed.
In social network analysis, individuals are repres... [more]
IN2011-124
pp.23-28
COMP 2011-10-21
10:35
Miyagi Tohoku Univ. Fast Algorithm for Finding a Graph Node with High Closeness Centrality
Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo (Hokkaido Univ.) COMP2011-29
The Closeness Centrality is one of centrality measures of a node in a graph.
It is calculated as the reciprocal of the ... [more]
COMP2011-29
pp.7-14
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