Regensburg 2019 – scientific programme
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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 8: Social Systems, Opinion and Group Formation II
SOE 8.2: Talk
Monday, April 1, 2019, 17:30–17:45, H17
Inferring follower-followee relations from presence data. Manta Rays case study. — •Juan Fernández-Gracia1, Jorge P. Rodríguez1, Lauren Peel2, Konstantin Klemm1, Mark Meekan2, and Víctor M. Eguíluz1 — 1Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), E07122 Palma de Mallorca, Spain — 2Australian Institute of Marine Science, Indian Ocean Marine Research Centre (IOMRC), University of Western Australia (M470), 35 Stirling Highway, Crawley, WA 6009, Australia
Social interactions are ubiquotous in groups of animals, including humans. These interactions might be of different nature, e. g. competitive, mutualistic, kinship, etc; and their global structure is naturally studied with the tools of complex network theory. Here we propose a method to extract follower-followee networks from presence data at a certain location. The method is based on the Kolmogorov-Smirnov distance between the distribution of waiting times between the consecutive presence of an individual i followed by the presence of j in the vicinity of a particular location and its conjugate distribution, i.e., j's presence followed i's. Using this method we construct the follower-followee network of manta-rays and characterize mantas in terms of their position on this network, paying attention to sex and size.