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Vladimir Zdravkovic

Researcher at Sapienza University of Rome

Publications -  8
Citations -  2419

Vladimir Zdravkovic is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Internal medicine & Medicine. The author has an hindex of 5, co-authored 5 publications receiving 2099 citations.

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Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study

TL;DR: It is argued that a topological interaction is indispensable to maintain a flock's cohesion against the large density changes caused by external perturbations, typically predation, and supported by numerical simulations.
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Empirical investigation of starling flocks: a benchmark study in collective animal behaviour

TL;DR: This work measured the individual three-dimensional positions in compact flocks of up to 2700 birds and investigated the main features of the flock as a whole (shape, movement, density and structure); current models and theories of collective animal behaviour can now be tested against these data.
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The STARFLAG handbook on collective animal behaviour: 1. Empirical methods

TL;DR: 3D studies of collective animal behaviour in three dimensions with small groups highlights the difficulty of obtaining high-quality 3D data for birds and mosquito studies, where the number of animals is very low compared to natural conditions.
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An empirical study of large, naturally occurring starling flocks: a benchmark in collective animal behaviour

TL;DR: This work measured the individual three-dimensional positions in compact flocks of up to 2700 birds and investigated the main features of the flock as a whole - shape, movement, density and structure - and discusses these as emergent attributes of the grouping phenomenon.
Posted Content

The STARFLAG handbook on collective animal behaviour: Part I, empirical methods

TL;DR: The main technical problems in 3D data collection of large animal groups are reviewed and how to solve the stereoscopic correspondence - or matching - problem is explained, which was the major bottleneck of all 3D studies in the past.