Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Peter G. Fennell"'
Publikováno v:
EPJ Data Science, Vol 8, Iss 1, Pp 1-27 (2019)
Abstract Modeling human behavioral data is challenging due to its scale, sparseness (few observations per individual), heterogeneity (differently behaving individuals), and class imbalance (few observations of the outcome of interest). An additional
Externí odkaz:
https://doaj.org/article/8c976ff26eee4c718561915ccc7b7d41
Publikováno v:
Frontiers in Physics, Vol 3 (2015)
The spreading of behavior, such as the adoption of a new innovation, is influenced bythe structure of social networks that interconnect the population. In the experiments of Centola (Science, 2010), adoption of new behavior was shown to spread furthe
Externí odkaz:
https://doaj.org/article/e47bac37cdee40dda44acb10d26a9d88
Autor:
James P. Gleeson, Peter G. Fennell, Raymond Burke, David O'Sullivan, Tomokatsu Onaga, James Cotter
A detailed analysis of Twitter-based information cascades is performed, and it is demonstrated that branching process hypotheses are approximately satisfied. Using a branching process framework, models of agent-to-agent transmission are compared to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64934559ec92d1e39726268c7cdd3894
http://arxiv.org/abs/2007.08916
http://arxiv.org/abs/2007.08916
Networks facilitate the spread of cascades, allowing a local perturbation to percolate via interactions between nodes and their neighbors. We investigate how network structure affects the dynamics of a spreading cascade. By accounting for the joint d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8640078a18cfc2ac9ea3854aad9cfded
http://arxiv.org/abs/1807.05472
http://arxiv.org/abs/1807.05472
Publikováno v:
WSDM
We investigate how Simpson's paradox affects analysis of trends in social data. According to the paradox, the trends observed in data that has been aggregated over an entire population may be different from, and even opposite to, those of the underly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f93b128f1ce734243cf5f5890b135d80
Publikováno v:
Computational Economics. 48:307-316
peer-reviewed Yes it is. We rigorously demonstrate the equivalence of any stock flow consistent (SFC) model to a directed acyclic graph (DAG) using condensation graphs. The equivalence between stock flow models and DAGs is useful both for visualising
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f63e2de744fe4f0f850404c84888421
https://doi.org/10.1007/s10614-015-9521-8
https://doi.org/10.1007/s10614-015-9521-8
Autor:
James P. Gleeson, Peter G. Fennell
Multistate dynamical processes on networks, where nodes can occupy one of a multitude of discrete states, are gaining widespread use because of their ability to recreate realistic, complex behaviour that cannot be adequately captured by simpler binar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdd834776079eed2e7efcb9dc848d0f0
Publikováno v:
Physical Review. E
Continuous-time Markov process models of contagions are widely studied, not least because of their utility in predicting the evolution of real-world contagions and in formulating control measures. It is often the case, however, that discrete-time app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::687d30acfbe27cb7161d2af56f7dab9b
http://arxiv.org/abs/1603.01132
http://arxiv.org/abs/1603.01132
Publikováno v:
Frontiers in Physics, Vol 3 (2015)
The spreading of behavior, such as the adoption of a new innovation, is influenced bythe structure of social networks that interconnect the population. In the experiments of Centola (Science, 2010), adoption of new behavior was shown to spread furthe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88b3d4256c118d619e6094f8e871edaa
http://journal.frontiersin.org/Journal/10.3389/fphy.2015.00071/full
http://journal.frontiersin.org/Journal/10.3389/fphy.2015.00071/full
Publikováno v:
SSRN Electronic Journal.
We show how every stock-flow consistent model of the macroeconomy can be represented as a directed acyclic graph. The advantages of representing the model in this way include graphical clarity, causal inference, and model specification. We provide ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef8a6340929e28d2d940d48a118c05df
https://doi.org/10.2139/ssrn.2492242
https://doi.org/10.2139/ssrn.2492242