Items where City Author is "Broom, Mark"
Haq, H., Schimit, P. & Broom, M. 
ORCID: 0000-0002-1698-5495 (2025).
Predictors of Fixation Probability on Complete Networks Involving Multiplayer Interactions Under Coordinated Movement Systems.
Dynamic Games and Applications,
doi: 10.1007/s13235-025-00635-5
Krakovská, H., Hanel, R. & Broom, M. ORCID: 0000-0002-1698-5495 (2025).
Fairness in the multi-proposer-multi-responder ultimatum game.
PLoS ONE, 20(3),
article number e0319178.
doi: 10.1371/journal.pone.0319178
Salvioli, M., Garjani, H., Satouri, M. , Broom, M. ORCID: 0000-0002-1698-5495, Viossat, Y., Brown, J. S., Dubbeldam, J. & Staňková, K. (2024).
Stackelberg Evolutionary Games of Cancer Treatment: What Treatment Strategy to Choose if Cancer Can be Stabilized?.
Dynamic Games and Applications,
doi: 10.1007/s13235-024-00609-z
Haq, H., Schimit, P. & Broom, M. ORCID: 0000-0002-1698-5495 (2024).
The effects of herding and dispersal behaviour on the evolution of cooperation on complete networks.
Journal of Mathematical Biology, 89(5),
article number 49.
doi: 10.1007/s00285-024-02148-y
Mohamadichamgavi, J. ORCID: 0000-0001-7208-5996 & Broom, M. ORCID: 0000-0002-1698-5495 (2024).
The impact of time delays on mutant fixation in pairwise social dilemma games.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 480(2300),
article number 20240195.
doi: 10.1098/rspa.2024.0195
Pires, D. L. ORCID: 0000-0002-6069-7474 & Broom, M. ORCID: 0000-0002-1698-5495 (2024).
The rules of multiplayer cooperation in networks of communities.
doi: doi.org/10.48550/arXiv.2404.03718
Pires, D. L. ORCID: 0000-0002-6069-7474 & Broom, M. ORCID: 0000-0002-1698-5495 (2024).
The rules of multiplayer cooperation in networks of communities.
PLOS Computational Biology, 20(8),
article number e1012388.
doi: 10.1371/journal.pcbi.1012388
Erovenko, I. V. ORCID: 0000-0001-9892-8568 & Broom, M. ORCID: 0000-0002-1698-5495 (2024).
The Evolution of Cooperation in a Mobile Population on Random Networks: Network Topology Matters Only for Low-Degree Networks.
Dynamic Games and Applications,
doi: 10.1007/s13235-024-00572-9
Bonfrisco, M. ORCID: 0000-0002-1527-8051, Russell, Y. I. ORCID: 0000-0003-4608-4791, Broom, M. ORCID: 0000-0002-1698-5495 & Spencer, R. ORCID: 0000-0003-0860-4717 (2024).
Averting Depletion in a Two-Player Common Pool Resource Game: Being Seen, the Expectation of Future Encounters, and Biophilia Play a Role in Cooperation.
Dynamic Games and Applications, 15(1),
pp. 1-27.
doi: 10.1007/s13235-024-00557-8
Scaramangas, A. ORCID: 0000-0003-3132-5425, Broom, M. ORCID: 0000-0002-1698-5495, Ruxton, G. D. & Rouviere, A. (2023).
Evolutionarily stable levels of aposematic defence in prey populations.
Theoretical Population Biology, 153,
pp. 15-36.
doi: 10.1016/j.tpb.2023.03.001
Meng, Y., Broom, M. & Li, A. (2023). Impact of misinformation in the evolution of collective cooperation on networks. Journal of the Royal Society. Interface, 20(206), article number 20230295. doi: 10.1098/rsif.2023.0295
Pattni, K., Ali, W. ORCID: 0000-0001-5533-1315, Broom, M. ORCID: 0000-0002-1698-5495 & Sharkey, K. J. (2023).
Eco-evolutionary dynamics in finite network-structured populations with migration.
Journal of Theoretical Biology, 572,
article number 111587.
doi: 10.1016/j.jtbi.2023.111587
Pires, D. ORCID: 0000-0002-6069-7474, Erovenko, I. V. & Broom, M. ORCID: 0000-0002-1698-5495 (2023).
Network topology and movement cost, not updating mechanism, determine the evolution of cooperation in mobile structured populations.
PLoS One, 18(8),
article number e0289366.
doi: 10.1371/journal.pone.0289366
Aizouk, R. & Broom, M. ORCID: 0000-0002-1698-5495 (2023).
The Game-theoretical Modelling Of A Dynamically Evolving Network: Revisiting The Target Sequence 111.
Journal of Dynamics and Games, 10(1),
pp. 87-97.
doi: 10.3934/jdg.2022026
Pires, D. & Broom, M. ORCID: 0000-0002-1698-5495 (2022).
More can be better: An analysis of single-mutant fixation probability functions under 2x2 games.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 478(2267),
article number 20220577.
doi: 10.1098/rspa.2022.0577
Bayer, P., Brown, J. S., Dubbeldam, J. & Broom, M. ORCID: 0000-0002-1698-5495 (2022).
A Markovian decision model of adaptive cancer treatment and quality of life.
Journal of Theoretical Biology, 551-552,
article number 111237.
doi: 10.1016/j.jtbi.2022.111237
Aizouk, R. & Broom, M. ORCID: 0000-0002-1698-5495 (2022).
Modelling conflicting individual preference: Target sequences and graph realization.
Discrete and Continuous Dynamical Systems - Series B, 27(11),
pp. 6373-6400.
doi: 10.3934/dcdsb.2022001
Schimit, P., Pereira, F. & Broom, M. ORCID: 0000-0002-1698-5495 (2022).
Good predictors for the fixation probability on complex networks of multi-player games using territorial interactions.
Ecological Complexity, 51,
article number 101017.
doi: 10.1016/j.ecocom.2022.101017
Scaramangas, A. & Broom, M. ORCID: 0000-0002-1698-5495 (2022).
Aposematic signalling in prey-predator systems:determining evolutionarily stability when prey populations consist of a single species.
Journal of Mathematical Biology, 85(2),
article number 13.
doi: 10.1007/s00285-022-01762-y
Broom, M. ORCID: 0000-0002-1698-5495, Erovenko, I. V. & Rychtar, J. (2021).
Modelling Evolution in Structured Populations Involving Multiplayer Interactions.
Dynamic Games and Applications, 11(2),
pp. 270-293.
doi: 10.1007/s13235-020-00358-9
Argasinski, K. & Broom, M. ORCID: 0000-0002-1698-5495 (2021).
Towards a replicator dynamics model of age structured populations.
Journal of Mathematical Biology, 82(5),
article number 44.
doi: 10.1007/s00285-021-01592-4
Sun, S., Broom, M. ORCID: 0000-0002-1698-5495, Johanis, M. & Rychtar, J. (2021).
A mathematical model of kin selection in floral displays.
Journal of Theoretical Biology, 509,
article number 110470.
doi: 10.1016/j.jtbi.2020.110470
Broom, M. ORCID: 0000-0002-1698-5495 & Krivan, V. (2020).
Two-strategy games with time constraints on regular graphs.
Journal of Theoretical Biology, 506,
article number 110426.
doi: 10.1016/j.jtbi.2020.110426
Garay, J., Cressman, R., Xu, F. , Broom, M. ORCID: 0000-0002-1698-5495, Csiszár, V. & Móri, T. F. (2020).
When optimal foragers meet in a game theoretical conflict: A model of kleptoparasitism.
Journal of Theoretical Biology, 502,
article number 110306.
doi: 10.1016/j.jtbi.2020.110306
Bishop, D. T., Broom, M. ORCID: 0000-0002-1698-5495 & Southwell, R. (2020).
Chris Cannings: A Life in Games.
Dynamic Games and Applications, 10(3),
pp. 591-617.
doi: 10.1007/s13235-019-00343-x
Varga, T., Garay, J., Rychtar, J. & Broom, M. ORCID: 0000-0002-1698-5495 (2020).
A temporal model of territorial defence with antagonistic interactions.
Theoretical Population Biology, 134,
pp. 15-35.
doi: 10.1016/j.tpb.2020.03.005
Broom, M. ORCID: 0000-0002-1698-5495, Cressman, R. & Zhang, B. (2020).
Dynamic Games and Applications: Special Issue in Memory of Chris Cannings-Introduction.
Dynamic Games and Applications, 10(3),
pp. 589-590.
doi: 10.1007/s13235-020-00362-z
Broom, M. ORCID: 0000-0002-1698-5495, Erovenko, I. V., Rowell, J. T. & Rychtář, J. (2020).
Models and measures of animal aggregation and dispersal.
Journal of Theoretical Biology, 484,
article number 110002.
doi: 10.1016/j.jtbi.2019.110002
Cannings, C. & Broom, M. ORCID: 0000-0002-1698-5495 (2019).
Game theoretical modelling of a dynamically evolving network Ⅱ: Target sequences of score 1.
Journal of Dynamics & Games, 7(1),
pp. 37-64.
doi: 10.3934/jdg.2020003
Broom, M. ORCID: 0000-0002-1698-5495, Cressman, R. & Křivan, V. (2019).
Revisiting the “fallacy of averages” in ecology: Expected gain per unit time equals expected gain divided by expected time.
Journal of Theoretical Biology, 483,
article number 109993.
doi: 10.1016/j.jtbi.2019.109993
Broom, M. ORCID: 0000-0002-1698-5495, Pattni, K. & Rychtar, J. (2019).
Generalized Social Dilemmas: The Evolution of Cooperation in Populations with Variable Group Size.
Bulletin of Mathematical Biology, 81(11),
pp. 4643-4674.
doi: 10.1007/s11538-018-00545-1
Bauer, J., Broom, M. ORCID: 0000-0002-1698-5495 & Alonso, E. ORCID: 0000-0002-3306-695X (2019).
The Stabilisation of Equilibria in Evolutionary Game Dynamics through Mutation: Mutation Limits in Evolutionary Games.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 475(2231),
article number 20190355.
doi: 10.1098/rspa.2019.0355
Erovenko, I. V., Bauer, J. ORCID: 0000-0003-3635-1235, Broom, M. ORCID: 0000-0002-1698-5495 , Pattni, K. & Rychtar, J. (2019).
The effect of network topology on optimal exploration strategies and the evolution of cooperation in a mobile population.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 475(2230),
article number 20190399.
doi: 10.1098/rspa.2019.0399
Overton, C. E., Broom, M. ORCID: 0000-0002-1698-5495, Hadjichrysanthou, C. & Sharkey, K. (2019).
Methods for approximating stochastic evolutionary dynamics on graphs.
Journal of Theoretical Biology, 468,
pp. 45-59.
doi: 10.1016/j.jtbi.2019.02.009
Wang, L., Ruxton, G. D., Cornell, S. J. , Speed, M. P. & Broom, M. ORCID: 0000-0002-1698-5495 (2019).
A theory for investment across defences triggered at different stages of a predator-prey encounter.
Journal of Theoretical Biology, 473,
pp. 9-19.
doi: 10.1016/j.jtbi.2019.04.016
Schimit, P., Pattni, K. & Broom, M. ORCID: 0000-0002-1698-5495 (2019).
Dynamics of multiplayer games on complex networks using territorial interactions.
Physical Review E, 99(3),
article number 032306.
doi: 10.1103/physreve.99.032306
Broom, M. & Rychtar, J. (2018). Evolutionary games with sequential decisions and dollar auctions. Dynamic Games and Applications, 8(2), pp. 211-231. doi: 10.1007/s13235-016-0212-4
Argasinski, K. & Broom, M. (2018). Evolutionary stability under limited population growth: Eco-evolutionary feedbacks and replicator dynamics. Ecological Complexity, 34, pp. 198-212. doi: 10.1016/j.ecocom.2017.04.002
Hadjichrysanthou, C., Broom, M. ORCID: 0000-0002-1698-5495 & Rychtar, J. (2018).
Models of kleptoparasitism on networks: the effect of population structure on food stealing behaviour.
Journal of Mathematical Biology, 76(6),
pp. 1465-1488.
doi: 10.1007/s00285-017-1177-7
Broom, M. ORCID: 0000-0002-1698-5495 & Krivan, V. (2018).
Biology and evolutionary games.
In: Basar, T. & Zaccour, G. (Eds.),
Handbook of Dynamic Game Theory.
(pp. 1039-1077). Germany: Springer.
Argasinski, K. & Broom, M. ORCID: 0000-0002-1698-5495 (2018).
Interaction rates, vital rates, background fitness and replicator dynamics: how to embed evolutionary game structure into realistic population dynamics.
Theory in Biosciences - Theorie in den Biowissenschaften, 137(1),
pp. 33-50.
doi: 10.1007/s12064-017-0257-y
Broom, M. & Rychtar, J. (2018). Ideal Cost-Free Distributions in Structured Populations for General Payoff Functions. Dynamic Games and Applications, 8(1), pp. 79-92. doi: 10.1007/s13235-016-0204-4
Broom, M., Collins, D. A., Thomas, P. & Vu, T.H. (2018). The Four Regions in Settlement Space: A Game-Theoretical Approach to Investment Treaty Arbitration Part I: Modelling. Law, Probability and Risk, 17(1), pp. 55-78. doi: 10.1093/lpr/mgx020
Broom, M., Collins, D. A., Vu, T.H. & Thomas, P. (2018). The Four Regions in Settlement Space: A Game-Theoretical Approach to Investment Treaty Arbitration Part II: Cases. Law, Probability and Risk, 17(1), pp. 79-98. doi: 10.1093/lpr/mgx019
Broom, M., Johanis, M. & Rychtar, J. (2018). The effect of fight cost structure on fighting behaviour involving simultaneous decisions and variable investment levels. Journal of Mathematical Biology, 76(1-2), pp. 457-482. doi: 10.1007/s00285-017-1149-y
Spencer, R. & Broom, M. (2018). A game-theoretical model of kleptoparasitic behavior in an urban gull (Laridae) population. Behavioral Ecology, 29(1), pp. 60-78. doi: 10.1093/beheco/arx125
Pattni, K., Broom, M. ORCID: 0000-0002-1698-5495 & Rychtar, J. (2018).
Evolving multiplayer networks: Modelling the evolution of cooperation in a mobile population.
Discrete & Continuous Dynamical Systems - B, 23(5),
pp. 1975-2004.
doi: 10.3934/dcdsb.2018191
Chawsheen, T.A. & Broom, M. (2017). Seasonal time-series modeling and forecasting of monthly mean temperature for decision making in the Kurdistan Region of Iraq. Journal of Statistical Theory and Practice, 11(4), pp. 604-633. doi: 10.1080/15598608.2017.1292484
Pattni, K., Broom, M. & Rychtar, J. (2017). Evolutionary dynamics and the evolution of multiplayer cooperation in a subdivided population. Journal of Theoretical Biology, 429, pp. 105-115. doi: 10.1016/j.jtbi.2017.06.034
Broom, M. & Cannings, C. (2017). Game theoretical modelling of a dynamically evolving network I: general target sequences. Journal of Dynamics and Games, 4(4), pp. 285-318. doi: 10.3934/jdg.2017016
Kura, K., Broom, M. & Kandler, A. (2016). A Game-Theoretical Winner and Loser Model of Dominance Hierarchy Formation. Bulletin of Mathematical Biology, 78(6), pp. 1259-1290. doi: 10.1007/s11538-016-0186-9
Broom, M. & Rychtar, J. (2016). A model of food stealing with asymmetric information. Ecological Complexity, 26, pp. 137-142. doi: 10.1016/j.ecocom.2015.05.001
Broom, M., Rychtar, J. & Spears-Gill, T. (2016). The Game-Theoretical Model of Using Insecticide-Treated Bed-Nets to Fight Malaria. Applied Mathematics, 07(09), pp. 852-860. doi: 10.4236/am.2016.79076
Broom, M. & Rychtar, J. (2016). Nonlinear and Multiplayer Evolutionary Games. Annals of the International Society of Dynamic Games, 14, pp. 95-115. doi: 10.1007/978-3-319-28014-1_5
Saber Raza, M. & Broom, M. (2016). Survival analysis modeling with hidden censoring. Journal of Statistical Theory and Practice, 10(2), pp. 375-388. doi: 10.1080/15598608.2016.1152205
Li, A., Broom, M., Du, J. & Wang, L. (2016). Evolutionary dynamics of general group interactions in structured populations. Physical Review E (PRE), 93(2), article number 022407. doi: 10.1103/physreve.93.022407
Pattni, K., Broom, M., Rychtar, J. & Silvers, L. J. (2015). Evolutionary graph theory revisited: when is an evolutionary process equivalent to the Moran process?. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 471(2182), article number 20150334. doi: 10.1098/rspa.2015.0334
Broom, M., Krivan, V. & Riedel, F. (2015). Dynamic Games and Applications: Second Special Issue on Population Games: Introduction. Dynamic Games and Applications, 5(2), pp. 155-156. doi: 10.1007/s13235-015-0153-3
Broom, M., Lafaye, C., Pattni, K. & Rychtar, J. (2015). A study of the dynamics of multi-player games on small networks using territorial interactions.. Journal of Mathematical Biology, 71(6-7), pp. 1551-1574. doi: 10.1007/s00285-015-0868-1
Kura, K., Broom, M. & Kandler, A. (2015). Modelling Dominance Hierarchies Under Winner and Loser Effects. Bulletin of Mathematical Biology, 77(6), pp. 927-952. doi: 10.1007/s11538-015-0070-z
Broom, M. & Cannings, C. (2015). Graphic deviation. Discrete Mathematics, 338(5), pp. 701-711. doi: 10.1016/j.disc.2014.12.011
Teichmann, J., Alonso, E. & Broom, M. (2015). A reward-driven model of Darwinian fitness. Paper presented at the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 12-14 Nov 2015, Lisbon, Portugal.
Broom, M. & Rychtar, J. (2014). Asymmetric Games in Monomorphic and Polymorphic Populations. Dynamic Games and Applications, 4(4), pp. 391-406. doi: 10.1007/s13235-014-0112-4
Broom, M., Johanis, M. & Rychtar, J. (2014). The effect of fight cost structure on fighting behaviour. Journal of Mathematical Biology, 71(4), pp. 979-996. doi: 10.1007/s00285-014-0848-x
Teichmann, J., Broom, M. & Alonso, E. (2014). The application of temporal difference learning in optimal diet models. Journal of Theoretical Biology, 340(7), pp. 11-16. doi: 10.1016/j.jtbi.2013.08.036
Broom, M., Rychtar, J. & Sykes, D. (2014). Kleptoparasitic Interactions under Asymmetric Resource Valuation. Mathematical Modelling of Natural Phenomena, 9(3), pp. 138-147. doi: 10.1051/mmnp/20149309
Teichmann, J., Broom, M. & Alonso, E. (2014). The Evolutionarily Dynamics of Aposematism: a Numerical Analysis of Co-Evolution in Finite Populations. Mathematical Modelling of Natural Phenomena (MMNP), 9(3), pp. 148-164. doi: 10.1051/mmnp/20149310
Broom, M., Ruxton, G. D. & Schaefer, H. M. (2013). Signal verification can promote reliable signalling.. Proceedings of the Royal Society B: Biological Sciences, 280(1771), -. doi: 10.1098/rspb.2013.1560
Argasinski, K. & Broom, M. (2013). The nest site lottery: How selectively neutral density dependent growth suppression induces frequency dependent selection. Theoretical Population Biology, 90, pp. 82-90. doi: 10.1016/j.tpb.2013.09.011
Broom, M. & Cannings, C. (2013). A dynamic network population model with strategic link formation governed by individual preferences. Journal of Theoretical Biology, 335, pp. 160-168. doi: 10.1016/j.jtbi.2013.06.024
Broom, M. & Ruxton, G. D. (2013). On the evolutionary stability of zero-cost pooled-equilibrium signals. Journal of Theoretical Biology, 323, pp. 69-75. doi: 10.1016/j.jtbi.2013.01.017
Broom, M. & Ruxton, G. D. (2012). Perceptual advertisement by the prey of stalking or ambushing predators. Journal of Theoretical Biology, 315, pp. 9-16. doi: 10.1016/j.jtbi.2012.08.026
Hadjichrysanthou, C., Broom, M. & Kiss, I. Z. (2012). Approximating evolutionary dynamics on networks using a Neighbourhood Configuration model. Journal of Theoretical Biology, 312, pp. 13-21. doi: 10.1016/j.jtbi.2012.07.015
Broom, M., Hughes, R. N., Burrows, M. T. & Ruxton, G. D. (2012). Evolutionarily stable sexual allocation by both stressed and unstressed potentially simultaneous hermaphrodites within the same population.. Journal of Theoretical Biology, 309, pp. 96-102. doi: 10.1016/j.jtbi.2012.06.004
Argasinski, K. & Broom, M. (2012). Ecological theatre and the evolutionary game: how environmental and demographic factors determine payoffs in evolutionary games. Journal of Mathematical Biology, 67(4), pp. 935-962. doi: 10.1007/s00285-012-0573-2
Barker, H. A., Broom, M. & Rychtar, J. (2012). A game theoretic model of kleptoparasitism with strategic arrivals and departures of beetles at dung pats. Journal of Theoretical Biology, 300, pp. 292-298. doi: 10.1016/j.jtbi.2012.01.038
Hadjichrysanthou, C. & Broom, M. (2012). When should animals share food? Game theory applied to kleptoparasitic populations with food sharing. Behavioral Ecology, 23(5), pp. 977-991. doi: 10.1093/beheco/ars061
Broom, M. & Rychtar, J. (2012). A general framework for analysing multiplayer games in networks using territorial interactions as a case study. Journal of Theoretical Biology, 302, pp. 70-80. doi: 10.1016/j.jtbi.2012.02.025
Broom, M. & Ruxton, G. D. (2011). Some mistakes go unpunished: the evolution of "all or nothing" signalling.. Evolution, 65(10), pp. 2743-2749. doi: 10.1111/j.1558-5646.2011.01377.x
Hadjichrysanthou, C., Broom, M. & Rychtar, J. (2011). Evolutionary Games on Star Graphs Under Various Updating Rules. Dynamic Games and Applications, 1(3), pp. 386-407. doi: 10.1007/s13235-011-0022-7
Broom, M. & Rychtar, J. (2011). Kleptoparasitic melees--modelling food stealing featuring contests with multiple individuals. Bulletin of Mathematical Biology, 73(3), pp. 683-699. doi: 10.1007/s11538-010-9546-z
Broom, M., Hadjichrysanthou, C., Rychtar, J. & Stadler, B. T. (2010). Two results on evolutionary processes on general non-directed graphs. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 466(2121), pp. 2795-2798. doi: 10.1098/rspa.2010.0067
Broom, M., Hadjichrysanthou, C. & Rychtar, J. (2010). Evolutionary games on graphs and the speed of the evolutionary process. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 466(2117), pp. 1327-1346. doi: 10.1098/rspa.2009.0487
Broom, M., Crowe, M. L., Fitzgerald, M. R. & Rychtar, J. (2010). The stochastic modelling of kleptoparasitism using a Markov process. Journal of Theoretical Biology, 264(2), pp. 266-272. doi: 10.1016/j.jtbi.2010.01.012
Kiss, I. Z., Broom, M., Craze, P. G. & Rafols, I. (2010). Can epidemic models describe the diffusion of topics across disciplines?. Journal of Informetrics, 4(1), pp. 74-82. doi: 10.1016/j.joi.2009.08.002
Broom, M. & Rychtar, J. (2009). A game theoretical model of kleptoparasitism with incomplete information. Journal of Mathematical Biology, 59(5), pp. 631-649. doi: 10.1007/s00285-008-0247-2
Broom, M., Rychtar, J. & Stadler, B. (2009). Evolutionary Dynamics on Small-Order Graphs. Journal of Interdisciplinary Mathematics, 12(2), pp. 129-140. doi: 10.1080/09720502.2009.10700618
Harrison, M. D. & Broom, M. (2009). A game-theoretic model of interspecific brood parasitism with sequential decisions. Journal of Theoretical Biology, 256(4), pp. 504-517. doi: 10.1016/j.jtbi.2008.08.033
Broom, M. (2009). Balancing risks and rewards: the logic of violence. Frontiers in Behavioral Neuroscience, 3(NOV), 51-. doi: 10.3389/neuro.08.051.2009
Broom, M., Kiss, I. Z. & Rafols, I. (2009). Can epidemic models describe the diffusion of research topics across disciplines? In: Birger Larsen & Jacqueline Leta (Eds.), Proceedings of the 12th International Conference of the International Society for Scientometrics and Informetrics. 12th International Conference of the International Society for Scientometrics and Informetrics, 14-07-2009 - 17-07-2009, Rio de Janeiro.
Broom, M., Luther, R. M. & Rychtar, J. (2009). A Hawk-Dove game in kleptoparasitic populations. Journal of Combinatorics, Information and System Sciences, 4, pp. 449-462.
Broom, M., Luther, R. M., Ruxton, G. D. & Rychtar, J. (2008). A game-theoretic model of kleptoparasitic behavior in polymorphic populations. Journal of Theoretical Biology, 255(1), pp. 81-91. doi: 10.1016/j.jtbi.2008.08.001
Broom, M. & Rychtar, J. (2008). An analysis of the fixation probability of a mutant on special classes of non-directed graphs. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 464(2098), pp. 2609-2627. doi: 10.1098/rspa.2008.0058
Broom, M., Rychtar, J. & Sykes, C. (2008). The Evolution of Kleptoparasitism under Adaptive Dynamics Without Restriction. Journal of Interdisciplinary Mathematics, 11(4), pp. 479-494. doi: 10.1080/09720502.2008.10700575
Yates, G. E. & Broom, M. (2007). Stochastic models of kleptoparasitism. Journal of Theoretical Biology, 248(3), pp. 480-489. doi: 10.1016/j.jtbi.2007.05.007
Broom, M., Speed, M. P. & Ruxton, G. D. (2006). Evolutionarily stable defence and signalling of that defence. Journal of Theoretical Biology, 242(1), pp. 32-43. doi: 10.1016/j.jtbi.2006.01.032
Broom, M., Speed, M. P. & Ruxton, G. D. (2005). Evolutionarily stable investment in secondary defences. Functional Ecology, 19(5), pp. 836-843. doi: 10.1111/j.1365-2435.2005.01030.x
Ruxton, G. D., Fraser, C. & Broom, M. (2005). An evolutionarily stable joining policy for group foragers. Behavioral Ecology, 16(5), pp. 856-864. doi: 10.1093/beheco/ari063
Broom, M., Borries, C. & Koenig, A. (2004). Infanticide and infant defence by males--modelling the conditions in primate multi-male groups. Journal of Theoretical Biology, 231(2), pp. 261-270. doi: 10.1016/j.jtbi.2004.07.001
Broom, M. & Ruxton, G. D. (2004). A framework for modelling and analysing conspecific brood parasitism. Journal of Mathematical Biology, 48(5), pp. 529-544. doi: 10.1007/s00285-003-0244-4
Broom, M. (2003). The use of multiplayer game theory in the modeling of biological populations. Comments on Theoretical Biology, 8(2-3), pp. 103-123.
Ward, A. J. W., Hoare, D. J., Couzin, I. D. , Broom, M. & Krause, J. (2002). The effects of parasitism and body length on positioning within wild fish shoals. Journal Of Animal Ecology, 71(1), pp. 10-14. doi: 10.1046/j.0021-8790.2001.00571.x
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