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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, CAS, SIP, VLD 2023-07-07
15:20
Hokkaido
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Masaaki Miyasita, Norihiko Shinomiya (Soka Univ.) CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
pp.143-146
CQ, CBE
(Joint)
2023-01-27
10:40
Ibaraki Epochal Tsukuba International Congress Center
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Msaaki Miyashita, Norihiko Shinomiya (Soka Univ.) CQ2022-73
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CQ2022-73
pp.69-72
MIKA
(2nd)
2019-10-03
11:15
Hokkaido Hokkaido Univ. [Poster Presentation] An Evaluation of Data-Based Influence Maximization Algorithm using Retweet Logs
Takuya Nagase, Sho Tsugawa (Univ.Tsukuba)
Influence maximization on social networks has been extensively studied in the literature. Influence maximization algorit... [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
CS, CQ
(Joint)
2017-04-21
14:45
Hokkaido Chitose Institute of Science and Technology Evaluation of the Robustness of Influence Maximization Algorithms against Random Perturbations to Influence Spread Probability
Sho Tsugawa (Univ. of Tsukuba), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) CQ2017-11
Given a social network, an influence maximization algorithm aims to find a set of influential (seed) nodes in the networ... [more] CQ2017-11
pp.53-58
CS, CQ, NV
(Joint)
2016-04-21
10:10
Tokyo Kikai-Shinko-Kaikan Bldg. On the Effects of Random Jump in an Influence Maximization Algorithm for Unknown Graphs
Shodai Mihara (Kwansei Gakuin Univ.), Sho Tsugawa (Univ. of Tsukuba), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) CQ2016-3
We have proposed a problem called influence maximization for unknown
graphs, and a heuristic algorithm for the problem... [more]
CQ2016-3
pp.13-18
 Results 1 - 6 of 6  /   
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