J
Jose C. Nacher
Researcher at Toho University
Publications - 12
Citations - 349
Jose C. Nacher is an academic researcher from Toho University. The author has contributed to research in topics: Complex network & Behavioral economics. The author has an hindex of 10, co-authored 12 publications receiving 307 citations.
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Minimum dominating set-based methods for analyzing biological networks.
Jose C. Nacher,Tatsuya Akutsu +1 more
TL;DR: The minimum dominating set approach has rapidly emerged as a promising algorithmic method to analyze complex biological networks integrated with human disorders, which can be composed of a variety of omics data, from proteomics and transcriptomics to metabolites.
Journal ArticleDOI
Analysis of critical and redundant nodes in controlling directed and undirected complex networks using dominating sets
Jose C. Nacher,Tatsuya Akutsu +1 more
TL;DR: An algorithmic procedure and mathematical tools to compute and evaluate the critical and redundant nodes in controlling directed and undirected scalefree networks using the minimum dominating set (MDS) approach are developed.
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Prospect Theory for Online Financial Trading
Yang-Yu Liu,Yang-Yu Liu,Yang-Yu Liu,Jose C. Nacher,Tomoshiro Ochiai,Mauro Martino,Yaniv Altshuler +6 more
TL;DR: In this paper, a large-scale empirical analysis of 28.5 million trades made by 81.3 thousand traders of an online financial trading community over 28 months was conducted to explore the large scale empirical aspect of prospect theory.
Journal Article
Prospect Theory for Online Financial Trading
TL;DR: This work analyzes over 28.5 million trades made by 81.3 thousand traders of an online financial trading community over 28 months to explore the large-scale empirical aspect of prospect theory and introduces three novel behavioral metrics to differentiate winning and losing traders based on their historical trading behavior.
Journal ArticleDOI
Structurally robust control of complex networks.
Jose C. Nacher,Tatsuya Akutsu +1 more
TL;DR: The presented methodology also addresses the probabilistic failure of links in real systems, such as neural synaptic unreliability in Caenorhabditis elegans, and suggests a new direction to pursue in studies of complex networks in which control theory has a role.