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Bottinelli, Arianna
Publications (5 of 5) Show all publications
Bottinelli, A., Sumpter, D. & Silverberg, J. (2016). Emergent Structural Mechanisms for High-Density Collective Motion Inspired by Human Crowds. Physical Review Letters, 117(22), Article ID 228301.
Open this publication in new window or tab >>Emergent Structural Mechanisms for High-Density Collective Motion Inspired by Human Crowds
2016 (English)In: Physical Review Letters, ISSN 0031-9007, E-ISSN 1079-7114, Vol. 117, no 22, article id 228301Article in journal (Refereed) Published
Abstract [en]

Collective motion of large human crowds often depends on their density. In extreme cases like heavy metal concerts and black Friday sales events, motion is dominated by physical interactions instead of conventional social norms. Here, we study an active matter model inspired by situations when large groups of people gather at a point of common interest. Our analysis takes an approach developed for jammed granular media and identifies Goldstone modes, soft spots, and stochastic resonance as structurally driven mechanisms for potentially dangerous emergent collective motion.

National Category
Physical Sciences
Identifiers
urn:nbn:se:uu:diva-303941 (URN)10.1103/PhysRevLett.117.228301 (DOI)000388630000032 ()
Available from: 2016-09-27 Created: 2016-09-27 Last updated: 2017-11-21Bibliographically approved
Bottinelli, A. (2016). Modelling collective movement and transport network formation in living systems. (Doctoral dissertation). Uppsala: Department of Mathematics
Open this publication in new window or tab >>Modelling collective movement and transport network formation in living systems
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The emergence of collective patterns from repeated local interactions between individuals is a common feature to most living systems, spanning a variety of scales from cells to animals and humans. Subjects of this thesis are two aspects of emergent complexity in living systems: collective movement and transport network formation. For collective movement, this thesis studies the role of movement-mediated information transfer in fish decision-making. The second project on collective movement takes inspiration from granular media and soft mode analysis and develops a new approach to describe the emergence of collective phenomena from physical interactions in extremely dense crowds. As regards transport networks, this thesis proposes a model of network growth to extract simple, biologically plausible rules that reproduce topological properties of empirical ant trail networks.  In the second project on transport networks, this thesis starts from the simple rule of “connecting each new node to the closest one”, that describes ants building behavior, to study how balancing local building costs and global maintenance costs influences the growth and topological properties of transport networks. These projects are addressed through a modeling approach and with the aim of identifying minimal sets of basic mechanisms that are most likely responsible of large-scale complex patterns. Mathematical models are always based on empirical observations and are, when possible, compared to experimental data.

Place, publisher, year, edition, pages
Uppsala: Department of Mathematics, 2016. p. 56
Series
Uppsala Dissertations in Mathematics, ISSN 1401-2049 ; 96
Keywords
animal collective behaviour, transport networks, crowd dynamics, complex systems, ants, fish
National Category
Mathematics
Research subject
Applied Mathematics and Statistics
Identifiers
urn:nbn:se:uu:diva-303943 (URN)978-91-506-2599-8 (ISBN)
Public defence
2016-11-25, Häggsalen, Ångströmslaboratoriet, Lägerhyddsvägen 1, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2016-11-03 Created: 2016-09-27 Last updated: 2016-11-15
Bottinelli, A., van Wilgenburg, E., Sumpter, D. J. T. & Latty, T. (2015). Local cost minimization in ant transport networks: from small-scale data to large-scale trade-offs. Journal of the Royal Society Interface, 12(112), Article ID 20150780.
Open this publication in new window or tab >>Local cost minimization in ant transport networks: from small-scale data to large-scale trade-offs
2015 (English)In: Journal of the Royal Society Interface, ISSN 1742-5689, E-ISSN 1742-5662, Vol. 12, no 112, article id 20150780Article in journal (Refereed) Published
Abstract [en]

Transport networks distribute resources and information in many human and biological systems. Their construction requires optimization and balance of conflicting criteria such as robustness against disruptions, transport efficiency and building cost. The colonies of the polydomous Australian meat ant Iridomyrmex purpureus are a striking example of such a decentralized network, consisting of trails that connect spatially separated nests. Here we study the rules that underlie network construction in these ants. We find that a simple model of network growth, which we call the minimum linking model (MLM), is sufficient to explain the growth of real ant colonies. For larger networks, the MLM shows a qualitative similarity with a Euclidean minimum spanning tree, prioritizing cost and efficiency over robustness. We introduce a variant of our model to show that a balance between cost, efficiency and robustness can be also reproduced at larger scales than ant colonies. Remarkably, such a balance is influenced by a parameter reflecting the specific features of the modelled transport system. The extended MLM could thus be a suitable source of inspiration for the construction of cheap and efficient transport networks with non-zero robustness, suggesting possible applications in the design of human-made networks.

Keywords
transport networks, network growth model, graph theory, ant collective behaviour, ant colony, network optimization
National Category
Other Natural Sciences Mathematics Other Biological Topics
Identifiers
urn:nbn:se:uu:diva-268402 (URN)10.1098/rsif.2015.0780 (DOI)000363987900009 ()
Available from: 2015-12-09 Created: 2015-12-04 Last updated: 2017-12-01Bibliographically approved
Bottinelli, A., Perna, A., Ward, A. & Sumpter, D. T. (2013). How Do Fish Use the Movement of Other Fish to Make Decisions?: From Individual Movement to Collective Decision Making. In: Thomas Gilbert, Markus Kirkilionis, Gregoire Nicolis (Ed.), Proceedings of the European Conference on Complex Systems 2012: . Paper presented at European Conference on Complex Systems 2012 (pp. 591-606). , V
Open this publication in new window or tab >>How Do Fish Use the Movement of Other Fish to Make Decisions?: From Individual Movement to Collective Decision Making
2013 (English)In: Proceedings of the European Conference on Complex Systems 2012 / [ed] Thomas Gilbert, Markus Kirkilionis, Gregoire Nicolis, 2013, Vol. V, p. 591-606Conference paper, Published paper (Other academic)
Series
Springer Proceedings in Complexity, ISSN 2213-8684
Keywords
Collective animal behaviour, Decision making, SPP models, Fish
National Category
Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-301517 (URN)10.1007/978-3-319-00395-5_73 (DOI)9783319003948 (ISBN)9783319003955 (ISBN)
Conference
European Conference on Complex Systems 2012
Available from: 2016-08-23 Created: 2016-08-23 Last updated: 2016-10-04Bibliographically approved
Bottinelli, A., Bassetti, B., Lagomarsino, M. C. & Gherardi, M. (2012). Influence of homology and node age on the growth of protein-protein interaction networks. Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, 86(4), 041919
Open this publication in new window or tab >>Influence of homology and node age on the growth of protein-protein interaction networks
2012 (English)In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, ISSN 1539-3755, E-ISSN 1550-2376, Vol. 86, no 4, p. 041919-Article in journal (Refereed) Published
Abstract [en]

Proteins participating in a protein-protein interaction network can be grouped into homology classes following their common ancestry. Proteins added to the network correspond to genes added to the classes, so the dynamics of the two objects are intrinsically linked. Here we first introduce a statistical model describing the joint growth of the network and the partitioning of nodes into classes, which is studied through a combined mean-field and simulation approach. We then employ this unified framework to address the specific issue of the age dependence of protein interactions through the definition of three different node wiring or divergence schemes. A comparison with empirical data indicates that an age-dependent divergence move is necessary in order to reproduce the basic topological observables together with the age correlation between interacting nodes visible in empirical data. We also discuss the possibility of nontrivial joint partition and topology observables.

National Category
Natural Sciences
Identifiers
urn:nbn:se:uu:diva-186024 (URN)10.1103/PhysRevE.86.041919 (DOI)000310436700006 ()
Available from: 2012-11-28 Created: 2012-11-27 Last updated: 2017-12-07Bibliographically approved
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