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James Nastos
James Nastos
University of British Columbia Okanagan
Verified email at okanagan.bc.ca
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Cited by
Year
Business-to-business referral as digital coopetition strategy: Insights from an industry-wise digital business network
Y Zhu, VL Wang, YJ Wang, J Nastos
European Journal of Marketing 54 (6), 1181-1203, 2020
602020
Familial groups in social networks
J Nastos, Y Gao
Social Networks 35 (3), 439-450, 2013
472013
Defining and identifying cograph communities in complex networks
S Jia, L Gao, Y Gao, J Nastos, Y Wang, X Zhang, H Wang
New Journal of Physics 17 (1), 013044, 2015
432015
The cluster deletion problem for cographs
Y Gao, DR Hare, J Nastos
Discrete Mathematics 313 (23), 2763-2771, 2013
412013
The parametric complexity of graph diameter augmentation
Y Gao, DR Hare, J Nastos
Discrete Applied Mathematics 161 (10-11), 1626-1631, 2013
272013
Bounded Search Tree Algorithms for Parameterized Cograph Deletion: Efficient Branching Rules by Exploiting Structures of Special Graph Classes
J Nastos, Y Gao
Discrete Mathematics, Algorithms and Applications 4 (01), 2012
182012
Statistical behavior of embeddedness and communities of overlapping cliques in online social networks
A Sridharan, Y Gao, K Wu, J Nastos
2011 Proceedings IEEE INFOCOM, 546-550, 2011
182011
A novel branching strategy for parameterized graph modification problems
J Nastos, Y Gao
Combinatorial Optimization and Applications: 4th International Conference …, 2010
112010
Exploring triad-rich substructures by graph-theoretic characterizations in complex networks
S Jia, L Gao, Y Gao, J Nastos, X Wen, X Zhang, H Wang
Physica A: Statistical Mechanics and its Applications 468, 53-69, 2017
72017
Viewing the Meso-Scale Structures in Protein-Protein Interaction Networks Using 2-Clubs
S Jia, L Gao, Y Gao, J Nastos, X Wen, X Huang, H Wang
IEEE Access 6, 36780-36797, 2018
62018
Utilizing graph classes for community detection in social and complex networks
J Nastos
University of British Columbia, 2015
32015
A note on the hardness of graph diameter augmentation problems
J Nastos, Y Gao
arXiv preprint arXiv:0909.3877, 2009
32009
Learning Branching Heuristics from Graph Neural Networks
C Zhang, Y Gao, J Nastos
arXiv preprint arXiv:2211.14405, 2022
2022
(P5, co-P5)-free Graphs Degree: Master of Science
J Nastos
University of Alberta, 2006
2006
GRAPHS AT RYERSON (G@ R) SEMINAR
J Nastos
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Articles 1–15