City Research Online

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

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: 0000-0003-0860-4717view all authors (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, 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.view all authors (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.view all authors (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 (2022). 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

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

Bayer, P., Brown, J. S., Dubbeldam, J. & Broom, M. ORCID: 0000-0002-1698-5495view all authors (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

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

Ramke, J., Evans, J. R., Habtamu, E. , Mwangi, N., Silva, J. C., Swenor, B. K., Congdon, N., Faal, H. B., Foster, A., Friedman, D. S., Gichuhi, S., Jonas, J. B., Khaw, P. T., Kyari, F., Murthy, G. V. S., Wang, N., Wong, T. Y., Wormald, R., Yusufu, M., Taylor, H., Resnikoff, S., West, S. K., Burton, M. J., Aghaji, A., Adewole, A. T., Csutak, A., Salam, A. S., Paduca, A., Bron, A. M., Denniston, A. K., Lazo Legua, A., Halim, A., Tefera, A. W., Mwangi, A., Jenkins, A. J., Davis, A., Meddeb-Ouertani, A., Wali, A. H., Palis, A. G., Bastos de Carvalho, A., Joshi, A., Kreis, A. J., Mueller, A., Bastawrous, A., Cooper, A., Smith, A. F., Grzybowski, A., Arvind, A., Karanu, A. M., Orlina, A. O., Burnett, A., Yashadhana, A., Abeydeera, A. P., Abdurakhmanova, A., Mohamed, A., Bacchav, A., Bernhisel, A., Webson, A. W., Azuara-Blanco, A., Hossain, A., Ilhan, B., Assumpta Lucienne, B., Tousignant, B., Shamanna, B. R., Wiafe, B., Mueller, B., Caglar, C., Mpyet, C., Abraham, C. H., Cheung, C. Y., Thiel, C. L., Jan, C. L., Emedike, C., Chuluunkhuu, C., Chinyere, C., Henein, C., Gilbert, C. E., Bascaran, C., Nitulescu, C. E., Patel, D., Bachani, D., Kiage, D., Etya'ale, D., Dahdal, D., Woo Lawson, D., Godin, D., Nkanga, D. G., Ondeyo, D. M., O'Brien, D., Mutie, D. M., Alalawi, E. S. K., Mayorga, E., Bin Hashim, E., Ashrafi, E., Kishiki, E. A., Kurian, E., D'Esposito, F., Masila, F., Pena, F. Y., Büsch, F., Topouzis, F., Bandello, F., Oyediji, F. J., Thumann, G., Ezz Elarab, G., Kitema, G. F., Schlenther, G., Fefoame, G. O., Cochrane, G. M., Laganovska, G., Awan, H. R., Ansari, H. M., Philippin, H., Burn, H., Dimaras, H., Filipe, H. P., Monye, H. I., Kandel, H., Randrianarisoa, H. L., Jones, I., Murdoch, I. E., Fabian, I. D., Khan, I. A., Sharma, I. P., Elbeih, I., Mactaggart, I., Pastor, J. C., Keunen, J. E. E., Ohuma, J. A., Pithuwa Nirwoth, J., Hammou, J., Vianna, J. R., Biao, J-E., Burr, J. M., Keenan, J. D., Blijkers, J., Black, J. M., Barbosa Breda, J., Furtado, J. M., Buchan, J. C., Lawrenson, J. ORCID: 0000-0002-2031-6390, Kempen, J. H., Ehrlich, J. R., Stern, J., Zhang, J. H., Keskinbora, K. H., Knoll, K. M., Blanchet, K., Schmid, K. L., Ono, K., Ogundimu, K., Balo, K., Somda, K. P., Yeboah, K., Amissah-Arthur, K. N., Nasehi, L., Øverland, L., Vijaya, L., Keay, L., Hamm, L. M., Mowatt, L., Harrison-Williams, L. C. M., Silva, L., Bilotto, L., Mörchen, M., Rabiu, M., Zondervan, M., Chagunda, M., Sandinha, M. T., Yee Melgar, M., Salas Vargas, M., Daniell, M. D., Katibeh, M., Broom, M., Collins, M. E., Alp, M. N., Kwarteng, M. A., Belkin, M., Gichangi, M., Sylvanowicz, M., Wu, M., Cano, M. R., Shalaby, M., Duggal, M., Khairallah, M., Batur, M., Bikbov, M. M., Ramappa, M., Pamarathi, N., Khachatryan, N., Muhammad, N., Kennedy, N., Murray, N., Beare, N. A. V., Astbury, N., Carnt, N. A., St Rose, N. A., Barker, N. H., Pehere, N. K., Uche, N. J., Lois, N., Awe, O. O., Mujica, O. J., Okolo, O. E., Rani, P. K., Ruamviboonsuk, P., Ndiaye, P. A., Dhakhwa, P., Rozsival, P., Mbulawa, P. K., Keane, P. A., Jones, P. R., Holland, P., Nukella, P. B., Burgess, P. I., O'Dwyer, P. A., Piyasena, P., Bastola, P., Morjaria, P., Nasimee, Q., Rambacal, R. A. T., Das, R., Khandekar, R. B., Azad, R., Bashshur, R., Sousa, R. A. R. C., Oenga, R., Gurung, R., Geneau, R., Jacobs, R. J., Finger, R. P., Guymer, R. H., Sevciuc, R., Khanna, R. C., George, R., Graham, R., Kawasaki, R., Ho, S. M., Mishra, S. K., Buttan, S., Block, S. S., Talero, S., Yoon, S., Joseph, S., Safi, S., Dodson, S., Munoz, S. R., Bakayoko, S., Mohammadi, S. F., Muez, S. A., Pardhan, S., Hopkins, S., Sheu, S-J., Coulibaly, S. M., Schellini, S. A., Arunga, S., Bush, S. R., Sivaprasad, S., Salomao, S. R., Marmamula, S., Onwubiko, S. N., Misra, S. L., Kuyyadiyil, S., Kulkarni, S., khanal, S., Yasmin, S., Pavljasevic, S. N., Gilbert, S. S., Braithwaite, T., Ghidirimschi, T., Ravilla, T., Fricke, T. R., Cogliati, T., Kassa, T., Peto, T., Dibb, U., Lansingh, V. C., Hu, V. H., Sheffield, V. M., Mathenge, W., Dean, W. H., Nolan, W., Hiratsuka, Y., Mahsood, Y. J. & Sapkota, Y.view all authors (2022). Grand Challenges in global eye health: a global prioritisation process using Delphi method. The Lancet Healthy Longevity, 3(1), e31-e41. doi: 10.1016/s2666-7568(21)00302-0

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

Sun, S., Broom, M. ORCID: 0000-0002-1698-5495, Johanis, M. & Rychtar, J.view all authors (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

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

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.view all authors (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

Varga, T., Garay, J., Rychtar, J. & Broom, M. ORCID: 0000-0002-1698-5495view all authors (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. & Rychtar, J. (2020). Modelling Evolution in Structured Populations Involving Multiplayer Interactions. Dynamic Games and Applications, 11(2), pp. 270-293. doi: 10.1007/s13235-020-00358-9

Broom, M. ORCID: 0000-0002-1698-5495, Erovenko, I. V., Rowell, J. T. & Rychtář, J.view all authors (2020). Models and measures of animal aggregation and dispersal. Journal of Theoretical Biology, 484, article number 110002. doi: 10.1016/j.jtbi.2019.110002

Bishop, D. T., Broom, M. ORCID: 0000-0002-1698-5495 & Southwell, R. (2019). Chris Cannings: A Life in Games. Dynamic Games and Applications, 10(3), pp. 591-617. doi: 10.1007/s13235-019-00343-x

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

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

Overton, C. E., Broom, M. ORCID: 0000-0002-1698-5495, Hadjichrysanthou, C. & Sharkey, K.view all authors (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: 0000-0002-1698-5495view all authors (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

Erovenko, I. V., Bauer, J. ORCID: 0000-0003-3635-1235, Broom, M. ORCID: 0000-0002-1698-5495 , Pattni, K. & Rychtar, J.view all authors (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

Broom, M. ORCID: 0000-0002-1698-5495, Pattni, K. & Rychtar, J. (2018). 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

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., Collins, D. A., Thomas, P. & Vu, T.H.view all authors (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.view all authors (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

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

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

Argasinski, K. & Broom, M. (2017). 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

Broom, M., Johanis, M. & Rychtar, J. (2017). 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

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

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

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

Broom, M. & Rychtar, J. (2016). Evolutionary games with sequential decisions and dollar auctions. Dynamic Games and Applications, 8(2), pp. 211-231. doi: 10.1007/s13235-016-0212-4

Broom, M. & Rychtar, J. (2016). 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

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.view all authors (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.view all authors (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.view all authors (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., 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

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

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

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. & 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

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

Broom, M., Hughes, R. N., Burrows, M. T. & Ruxton, G. D.view all authors (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

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

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

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

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

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. & 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

Broom, M., Crowe, M. L., Fitzgerald, M. R. & Rychtar, J.view all authors (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.view all authors (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., 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. & Rychtar, J. (2010). 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.view all authors (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

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., 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

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. & 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., Luther, R. M., Ruxton, G. D. & Rychtar, J.view all authors (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. & 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

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

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.view all authors (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

Broom, M., Cannings, C. & Vickers, G. T. (2000). Evolution in Knockout Contests: the Variable Strategy Case. Selection, 1, pp. 5-21.