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Items where Division is "Centre for the Mathematics of Human Behaviour (CMOHB)"

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Number of items at this level: 48.

2024

Ngoh, S., Pal Majumder, A. ORCID: https://orcid.org/0000-0001-6094-4909 and Lingjie, D. (2024) Robust clustered federated learning against malicious agents. In: 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), June 24−June 27th , 2024, Singapore. (In Press)

2021

Della Giusta, M. ORCID: https://orcid.org/0000-0003-3959-4451, Jaworska, S. ORCID: https://orcid.org/0000-0001-7465-2245 and Vukadinovic Greetham, D. (2021) Expert communication on Twitter: comparing economists and scientists’ social networks, topics and communicative styles. Public Understanding of Science, 30 (1). pp. 75-90. ISSN 1361-6609 doi: https://doi.org/10.1177/0963662520957252

2020

Giasemidis, G., Kaplis, N., Agrafiotis, I. and Nurce, J. R. C. (2020) A semi-supervised approach to message stance classification. IEEE Transactions on Knowledge and Data Engineering, 32 (1). pp. 1-11. ISSN 1041-4347 doi: https://doi.org/10.1109/TKDE.2018.2880192

2018

Giasemidis, G. and Vukadinovic Greetham, D. (2018) Optimising parameters in recurrence quantification analysis of smart energy systems. In: 9th International Conference on Information, Intelligence, Systems and Applications (IISA2018), 23-25 July 2015, Zakynthos, Greece.

Giasemidis, G. and Haben, S. (2018) Modelling the demand and uncertainty of low voltage networks and the effect of non-domestic consumers. Sustainable Energy, Grids and Networks, 16. pp. 341-340. ISSN 2352-4677 doi: https://doi.org/10.1016/j.segan.2018.10.002

Haben, S. and Giasemidis, G. (2018) Distribution network demand and its uncertainty. In: Arefi, A., Shahnia, F. and Ledwich, G. (eds.) Electric Distribution Network Management and Control. Springer, pp. 59-84. ISBN 9789811070013 doi: https://doi.org/10.1007/978-981-10-7001-3_3

Hattam, L. (2018) Travelling wave solutions of the perturbed mKdV equation that represent traffic congestion. Wave Motion, 79. pp. 57-72. ISSN 0165-2125 doi: https://doi.org/10.1016/j.wavemoti.2018.02.006

Hattam, L. and Vukadinovic Greetham, D. (2018) Energy disaggregation for SMEs using recurrence quantification analysis. In: ACM e-Energy 2018, 12 Jun 2018, Karlsruhe, Germany, pp. 610-617.

Hattam, L. and Vukadinovic Greetham, D. (2018) An innovation diffusion model of a local electricity network that is influenced by internal and external factors. Physica A: Statistical Mechanics and its Applications, 490. pp. 353-365. ISSN 0378-4371 doi: https://doi.org/10.1016/j.physa.2017.08.014

Yunusov, T. ORCID: https://orcid.org/0000-0003-2318-3009, Giasemidis, G. and Haben, S. (2018) Smart storage scheduling and forecasting for peak reduction on low-voltage feeders. In: Energy Management—Collective and Computational Intelligence with Theory and Applications. Studies in Systems, Decision and Control, 149. Springer, pp. 83-107. ISBN 9783319756905 doi: https://doi.org/10.1007/978-3-319-75690-5_5

2017

Giasemidis, G., Haben, S., Lee, T., Singleton, C. and Grindrod, P. (2017) A genetic algorithm approach for modelling low voltage network demands. Applied Energy, 203 (1). pp. 463-473. ISSN 0306-2619 doi: https://doi.org/10.1016/j.apenergy.2017.06.057

Hattam, L., Vukadinovic Greetham, D., Haben, S. and Roberts, D. (2017) Electric vehicles and low voltage grid: impact of uncontrolled demand side response. In: 24th International Conference on Electricity Distribution, 12-15 June 2017, Glasgow, pp. 1073-1076.

Hattam, L. and Vukadinovic Greetham, D. (2017) Green neighbourhoods in low voltage networks: measuring impact of electric vehicles and photovoltaics on load profiles. Journal of Modern Power Systems and Clean Energy, 5 (1). pp. 105-116. ISSN 2196-5420 doi: https://doi.org/10.1007/s40565-016-0253-0

Hattam, L. L. (2017) KdV cnoidal waves in a traffic flow model with periodic boundaries. Physica D: Nonlinear Phenomena, 348. pp. 44-53. ISSN 0167-2789 doi: https://doi.org/10.1016/j.physd.2017.02.010

Higham, D. J., Batty, M., Bettencourt, L. M., Greetham, D. V. and Grindrod, P. (2017) An overview of City Analytics. Royal Society Open Science, 4 (2). 161063. ISSN 2054-5703 doi: https://doi.org/10.1098/rsos.161063

Yunusov, T. ORCID: https://orcid.org/0000-0003-2318-3009, Haben, S., Lee, T., Ziel, F., Holderbaum, W. and Potter, B. (2017) Evaluating the effectiveness of storage control in reducing peak demand on low voltage feeders. In: CIRED 2017, 12-15 Jun 2017, Glasgow, UK, pp. 1745-1749.

2016

Charlton, N., Singleton, C. and Greetham, D. V. (2016) In the mood: the dynamics of collective sentiments on Twitter. Royal Society Open Science, 3 (6). 160162. ISSN 2054-5703 doi: https://doi.org/10.1098/rsos.160162

Giasemidis, G., Singleton, C., Agrafiotis, I., Nurse, J. R. C., Pilgrim, A., Willis, C. and Vukadinovic Greetham, D. (2016) Determining the veracity of rumours on Twitter. In: 8th International Conference on Social Informatics, SocInfo 2016, 15-17 November 2016, Seattle, USA, pp. 185-205.

Haben, S., Singleton, C. and Grindrod, P. (2016) Analysis and clustering of residential customers energy behavioral demand using smart meter data. IEEE Transactions on Smart Grid, 7 (1). pp. 136-144. ISSN 1949-3053 doi: https://doi.org/10.1109/TSG.2015.2409786

Haben, S. and Giasemidis, G. (2016) A hybrid model of kernel density estimation and quantile regression for GEFCom2014 probabilistic load forecasting. International Journal of Forecasting, 32 (3). pp. 1017-1022. ISSN 0169-2070 doi: https://doi.org/10.1016/j.ijforecast.2015.11.004

2015

Colman, E. and Vukadinovic Greetham, D. (2015) Memory and burstiness in dynamic networks. Physical Review E, 92 (1). 012817. ISSN 1539-3755 doi: https://doi.org/10.1103/PhysRevE.92.012817

Grindrod, P. (2015) Evolving social networks, attitudes and beliefs and counter terrorism. In: Higham, N. J. (ed.) The Princeton companion to applied mathematics. Princeton University Press, Princeton, N.J., pp. 800-803. ISBN 9780691150390 (Part VII.5 )

Poghosyan, A., Vukadinovic Greetham, D., Haben, S. and Lee, T. (2015) Long term individual load forecast under different electrical vehicles uptake scenarios. Applied Energy, 157. pp. 699-709. ISSN 0306-2619 doi: https://doi.org/10.1016/j.apenergy.2015.02.069

Vukadinovic Greetham, D., Poghosyan, A. and Charlton, N. (2015) Weighted alpha-rate dominating sets in social networks. In: Third International Workshop on Complex Networks and their Applications, 23-27 Nov 2014, Marrakech, Morocco.

Vukadinovic Greetham, D., Sengupta, A., Hurling, R. and Wilkinson, J. (2015) Interventions in social networks: impact on mood and network dynamics. Advances in Complex Systems, 18 (03n04). p. 1550016. ISSN 1793-6802 doi: https://doi.org/10.1142/S0219525915500162

2014

Haben, S., Ward, J., Vukadinovic Greetham, D., Singleton, C. and Grindrod, P. (2014) A new error measure for forecasts of household-level, high resolution electrical energy consumption. International Journal of Forecasting, 30 (2). pp. 246-256. ISSN 0169-2070 doi: https://doi.org/10.1016/j.ijforecast.2013.08.002

Singleton, C. and Charlton, N. (2014) A refined parametric model for short term load forecasting. International Journal of Forecasting, 30 (2). 364 - 368. ISSN 0169-2070 doi: https://doi.org/10.1016/j.ijforecast.2013.07.003

Smith, G., Stoyanov, Z., Vukadinovic Greetham, D., Grindrod, P. and Saddy, D. ORCID: https://orcid.org/0000-0001-8501-6076 (2014) Towards the computer-aided diagnosis of dementia based on the geometric and network connectivity of structural MRI data. In: CADDementia workshop, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2014 conference, 14-18 Sep 2014, Boston.

Vukadinovic Greetham, D. and Ward, J. A. (2014) Conversations on Twitter: structure, pace, balance. In: 2nd International Workshop on Dynamic Networks and Knowledge Discovery (DyNaK II), 15 September 2014, Nancy, France. (ISSN 1613-0073)

Vukadinovic Greetham, D., Stoyanov, Z. and Grindrod, P. (2014) On the radius of centrality in evolving communication networks. Journal of Combinatorial Optimization, 28 (3). pp. 540-560. ISSN 1382-6905 doi: https://doi.org/10.1007/s10878-014-9726-0

2013

Charlton, N., Vukadinovic Greetham, D. and Singleton, C. (2013) Graph-based algorithms for comparison and prediction of household-level energy use profiles. In: IEEE International Workshop on Intelligent Energy Systems, 14 Nov 2013, Wienna, pp. 119-124.

Grindrod, P., Stoyanov, Z. V., Smith, G. M. and Saddy, J. D. ORCID: https://orcid.org/0000-0001-8501-6076 (2013) Primary evolving networks and the comparative analysis of robust and fragile structures. Journal of Complex Networks, 2 (1). pp. 60-73. ISSN 2051-1329 doi: https://doi.org/10.1093/comnet/cnt015

Vukadinovic Greetham, D., Stoyanov, Z. and Grindrod, P. (2013) Centrality and spectral radius in dynamic communication networks. In: CSoNet, COCOON 2013, LNCS 7936, 22 June 2013, Hangzhou, China, pp. 791-800.

2012

Grindrod, P. and Higham, D. J. (2012) Models for evolving networks: with applications in telecommunication and online activities. IMA Journal of Management Mathematics, 23 (1). pp. 1-15. ISSN 1471-6798 doi: https://doi.org/10.1093/imaman/dpr001

Grindrod, P. and Higham, D. J. (2012) A matrix iteration for dynamic network summaries. SIAM Review, 55 (1). pp. 118-128. ISSN 1095-7200 doi: https://doi.org/10.1137/110855715

Grindrod, P., Higham, D. J. and Parsons, M. C. (2012) Bistability through triadic closure. Internet Mathematics, 8 (4). pp. 402-423. doi: https://doi.org/10.1080/15427951.2012.714718

Parsons, M. C. and Grindrod, P. (2012) Competing edge networks. Physics Letters A, 376 (32). pp. 2167-2173. ISSN 0375-9601 doi: https://doi.org/10.1016/j.physleta.2012.05.008

Richetin, J., Perugini, M., Connor, M., Adjali, I., Hurling , R., Sengupta, A. and Greetham, D. (2012) To reduce and not to reduce resource consumption? That is two questions. Journal for Environmental Psychology, 33 (2). pp. 112-122. ISSN 0272-4944 doi: https://doi.org/10.1016/j.jenvp.2012.01.003

2011

Grindrod, P. (2011) Mathematical modelling for the digital society. IMA Journal of Applied Mathematics, 76 (3). pp. 475-492. ISSN 1464-3634 doi: https://doi.org/10.1093/imamat/hxq050

Grindrod, P. and Parsons, M. (2011) Social networks: evolving graphs with memory dependent edges. Physica A, 390 (2. pp. 3970-3981. doi: https://doi.org/10.1016/j.physa.2011.06.015

Grindrod, P., Parsons, M. C., Higham, D. J. and Estrada, E. (2011) Communicability across evolving networks. Physical Review E, 83 (4). 046120. ISSN 1539-3755 doi: https://doi.org/10.1103/PhysRevE.83.046120

Vukadinovic Greetham, D., Hurling, R., Osborne, G. and Linley, A. (2011) Social networks and positive and negative affect. Procedia Social and Behavioural Sciences, 22. pp. 4-13. ISSN 1877-0428 doi: https://doi.org/10.1016/j.sbspro.2011.07.051

2010

Grindrod, P. and Higham, D. J. (2010) Evolving graphs: dynamical models, inverse problems and propagation. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 466 (2115). pp. 753-770. ISSN 1364-5021 doi: https://doi.org/10.1098/rspa.2009.0456

Grindrod, P. and Pinotsis, D. (2010) On the spectra of certain integro-differential-delay problems with applications in neurodynamics. Physica D: Nonlinear Phenomena, 240 (1). pp. 13-20. ISSN 0167-2789 doi: https://doi.org/10.1016/j.physd.2010.08.002

Grindrod, P., Higham, D. J. and Kalna, G. (2010) Periodic Reordering. IMA Journal of Numerical Analysis, 30 (1). pp. 195-207. ISSN 0272-4979 doi: https://doi.org/10.1093/imanum/drp047

Richetin, J., Sengupta, A., Perugini, M., Adjali, I., Hurling, R., Vukadinovic Greetham, D. and Spence , M. (2010) A micro-level simulation for the prediction of intention and behaviour. Cognitive Systems Research, 11 (2). pp. 181-193. ISSN 1389-0417 doi: https://doi.org/10.1016/j.cogsys.2009.08.001

Sengupta, A. and Greetham, D. V. (2010) Dynamics of brand competition: Effects of unobserved social networks. Journal of Economic Dynamics and Control, 34 (12). pp. 2391-2406. ISSN 0165-1889 doi: https://doi.org/10.1016/j.jedc.2010.06.009

2009

Erlebach, T., Moonen, L., Spieksma, F. and Vukadinovic Greetham, D. (2009) Connectivity measures for internet topologies on the level of autonomous systems. Operations Research, 57 (4). pp. 1006-1025. ISSN 1526-5463 doi: https://doi.org/10.1287/opre.1080.0677

This list was generated on Sat Nov 9 19:14:29 2024 UTC.

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