Marina Diakonova
Marina Diakonova
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Cited by
Cited by
Information gerrymandering and undemocratic decisions
AJ Stewart, M Mosleh, M Diakonova, AA Arechar, DG Rand, JB Plotkin
Nature 573 (7772), 117–121, 2019
Cluster analysis and prediction of residential peak demand profiles using occupant activity data
A Satre-Meloy, M Diakonova, P Grünewald
Applied Energy 260, 114246, 2020
Irreducibility of multilayer network dynamics: the case of the voter model
M Diakonova, V Nicosia, V Latora, M San Miguel
New J. Phys 18, 023010, 2016
Flexibility, dynamism and diversity in energy supply and demand: A critical review
P Grunewald, M Diakonova
Energy Research & Social Science 38, 58-66, 2018
Absorbing and shattered fragmentation transitions in multilayer coevolution
M Diakonova, M San Miguel, VM Eguíluz
Physical Review E 89 (6), 062818, 2014
Daily life and demand: an analysis of intra-day variations in residential electricity consumption with time-use data
A Satre-Meloy, M Diakonova, P Grünewald
Energy Efficiency, 1-26, 2019
Dynamical origins of the community structure of an online multi-layer society
P Klimek, M Diakonova, VM Eguíluz, M San Miguel, S Thurner
New Journal of Physics 18 (8), 083045, 2016
Noise in coevolving networks
M Diakonova, VM Eguíluz, M San Miguel
Physical Review E 92 (3), 032803, 2015
The electricity footprint of household activities-implications for demand models
P Grunewald, M Diakonova
Energy and Buildings 174, 635-641, 2018
The specific contributions of activities to household electricity demand
P Grünewald, M Diakonova
Energy and Buildings 204, 109498, 2019
Quantifying emergence in terms of persistent mutual information
RC Ball, M Diakonova, RS Mackay
Advances in Complex Systems 13 (03), 327-338, 2010
Mathematical examples of space-time phases
M Diakonova, RS MacKay
International Journal of Bifurcation and Chaos 21 (08), 2297-2304, 2011
What we do matters – a time-use app to capture energy relevant activities
A Grünewald, P., Diakonova, M., Zilli, D., Bernard, J. and Matousek
eceee 2017 Summer Study Proceedings, 2085-2093, 2017
What makes you peak? Cluster analysis of household activities and electricity demand
A Satre-Meloy, M Diakonova, P Grünewald
ECEEE Summer Study 2019, 2019
Energy and enjoyment: The value of household electricity consumption
P Grunewald, M Diakonova
Energy and Behaviour, 263-281, 2020
Using Twitter data to identify networks of interest in minority policy topics
M Morgan, G Killip, M Diakonova …, 2019
Diversity behind the meter–machine learning from household activities
P Grunewald, M Diakonova, A Satre-meloy
British Insitute of Energy Economics, 2018
Daily life and demand: New data on behavioral drivers of residential electricity use patterns
A Satre-Meloy, M Diakonova, P Grünewald
Proceedings of the 2018 ACEEE Summer Study on Energy Efficiency in Buildings …, 2018
Dynamical leaps due to microscopic changes in multiplex networks
M Diakonova, JJ Ramasco, VM Eguíluz
Europhysics Letters 117 (4), 2017
METER: UK Household Electricity and Activity Survey, 2016-2019: Secure Access
M Grunewald, P., Diakonova, 2019
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