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Applied network science

Showing results (81-90 of 197) with videos related to

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Applied Network Science|November 23, 2018
Statistical methods for constructing disease comorbidity networks from longitudinal inpatient dataBabak Fotouhi, Naghmeh Momeni, Maria A Riolo, et al.
Applied Network Science|November 17, 2018
Crowdsourcing the Robin Hood effect in citiesThomas Louail, Maxime Lenormand, Juan Murillo Arias, et al.
Applied Network Science|November 17, 2018
Trust and distrust in contradictory information transmissionGiuseppe Primiero, Franco Raimondi, Michele Bottone, et al.
Applied Network Science|November 17, 2018
Efficient orbit-aware triad and quad census in directed and undirected graphsMark Ortmann, Ulrik Brandes
Applied Network Science|November 17, 2018
JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphsLisette Espín-Noboa, Florian Lemmerich, Markus Strohmaier, et al.
Applied Network Science|November 17, 2018
Sparse matrix computations for dynamic network centralityFrancesca Arrigo, Desmond J Higham
Applied Network Science|November 17, 2018
Countries' positions in the international global value networks: Centrality and economic performanceIsabella Cingolani, Pietro Panzarasa, Lucia Tajoli
Applied Network Science|November 17, 2018
Can local-community-paradigm and epitopological learning enhance our understanding of how local brain connectivity is able to process, learn and memorize chronic pain?Vaibhav Narula, Antonio Giuliano Zippo, Alessandro Muscoloni, et al.
Applied Network Science|November 17, 2018
Predicting stock market movements using network science: an information theoretic approachMinjun Kim, Hiroki Sayama
Applied Network Science|March 26, 2019
From free text to clusters of content in health records: an unsupervised graph partitioning approachM Tarik Altuncu, Erik Mayer, Sophia N Yaliraki, et al.
Pageof 20

Showing results (81-90 of 197) with videos related to

Sort By:
Pageof 20
Applied Network Science|November 23, 2018
Statistical methods for constructing disease comorbidity networks from longitudinal inpatient dataBabak Fotouhi, Naghmeh Momeni, Maria A Riolo, et al.
Applied Network Science|November 17, 2018
Crowdsourcing the Robin Hood effect in citiesThomas Louail, Maxime Lenormand, Juan Murillo Arias, et al.
Applied Network Science|November 17, 2018
Trust and distrust in contradictory information transmissionGiuseppe Primiero, Franco Raimondi, Michele Bottone, et al.
Applied Network Science|November 17, 2018
Efficient orbit-aware triad and quad census in directed and undirected graphsMark Ortmann, Ulrik Brandes
Applied Network Science|November 17, 2018
JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphsLisette Espín-Noboa, Florian Lemmerich, Markus Strohmaier, et al.
Applied Network Science|November 17, 2018
Sparse matrix computations for dynamic network centralityFrancesca Arrigo, Desmond J Higham
Applied Network Science|November 17, 2018
Countries' positions in the international global value networks: Centrality and economic performanceIsabella Cingolani, Pietro Panzarasa, Lucia Tajoli
Applied Network Science|November 17, 2018
Can local-community-paradigm and epitopological learning enhance our understanding of how local brain connectivity is able to process, learn and memorize chronic pain?Vaibhav Narula, Antonio Giuliano Zippo, Alessandro Muscoloni, et al.
Applied Network Science|November 17, 2018
Predicting stock market movements using network science: an information theoretic approachMinjun Kim, Hiroki Sayama
Applied Network Science|March 26, 2019
From free text to clusters of content in health records: an unsupervised graph partitioning approachM Tarik Altuncu, Erik Mayer, Sophia N Yaliraki, et al.
Pageof 20