Identifying highly influential nodes in the complicated grief network.
DJ Robinaugh, AJ Millner… - Journal of abnormal …, 2016 - psycnet.apa.org
The network approach to psychopathology conceptualizes mental disorders as networks of
mutually reinforcing nodes (ie, symptoms). Researchers adopting this approach have …
mutually reinforcing nodes (ie, symptoms). Researchers adopting this approach have …
A sequential-path tree-based centrality for identifying influential spreaders in temporal networks
The problem of identifying influential spreaders in temporal networks has attracted extensive
attention in recent years. Existing studies have proposed various centrality measures for …
attention in recent years. Existing studies have proposed various centrality measures for …
Evaluating potential effects of distress symptoms' interventions on suicidality: Analyses of in silico scenarios
Background Complexity science perspectives like the network approach to psychopathology
have emerged as a prominent methodological toolkit to generate novel hypotheses on …
have emerged as a prominent methodological toolkit to generate novel hypotheses on …
Social and economic flows across multimodal transportation networks in the Greater Tokyo Area
A Bramson, M Hori, B Zha, H Inamoto - Applied Network Science, 2020 - Springer
We model the flow of human capital and resources across multimodal transportation
networks throughout the Greater Tokyo Area. Our transportation networks include trains …
networks throughout the Greater Tokyo Area. Our transportation networks include trains …
Measuring propagation with temporal webs
A Bramson, K Hoefman, M van den Heuvel… - Temporal network …, 2017 - Springer
We present a form of temporal network called a “temporal web” that connects nodes across
time into a single temporally extended acyclic directed graph as a way to capture contingent …
time into a single temporally extended acyclic directed graph as a way to capture contingent …
Personalized treatment through biosensors and machine learning ML
A Thomas Homescu - … Biosensors and Machine Learning ML (May …, 2020 - papers.ssrn.com
Personalized treatment through biosensors and machine learning Page 1 Personalized
treatment through biosensors and machine learning ML Anne Thomas Homescu∗ May 2020 …
treatment through biosensors and machine learning ML Anne Thomas Homescu∗ May 2020 …
Local Information and Structures in Analysis and Modelling of Complex Networks
M Jia - 2022 - opus.lib.uts.edu.au
Abstracting entities and their interactions as nodes and links, networks are a general
representation for modelling and studying complex systems. Modelling relational structures …
representation for modelling and studying complex systems. Modelling relational structures …
Classification of Accessibility and Synergy in the Tokyo Area Multimodal Transportation Network
A Bramson, M Hori, B Zha, H Inamoto - Advances in Artificial Intelligence …, 2020 - Springer
This is an extension from a selected paper from JSAI2019. Understanding accessibility in its
many forms requires merging multimodal transportation network analysis with geospatial …
many forms requires merging multimodal transportation network analysis with geospatial …