A preferential attachment model for primate social networks

    Authors

    M. I. Akbas; M. R. Brust; D. Turgut;C. H. C. Ribeiro

    Comments

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    Abbreviated Journal Title

    Comput. Netw.

    Keywords

    Wireless sensor networks; Social networks; Mobility; Animal monitoring; Preferential attachment; WIRELESS SENSOR NETWORKS; MOUNTAIN GORILLAS; HOME-RANGE; ORGANIZATION; PATTERNS; BEHAVIOR; MACACA; Computer Science, Hardware & Architecture; Computer Science, Information; Systems; Engineering, Electrical & Electronic; Telecommunications

    Abstract

    Wildlife monitoring is an enormous organizational challenge due to the required time and effort for setting and maintaining it. It is particularly difficult when the observed species has a complex social hierarchy and different roles for the members in the social group. In this paper, we introduce an approach to model a primate social network. The primates have complex social behaviors and network structure. As a result, there is a need for realistic computational models to fully understand and analyze the social behavior of such animal groups. We propose a novel spatial cut-off preferential attachment model with a center of mass concept to model the characteristics of the primate groups and a role determination algorithm, which groups the primates into their roles in the society based on the data collected by the wireless sensor and actor networks (WSAN). The performance of the monitoring and role determination algorithms, the applicability of the network formation and the mobility models are evaluated through extensive simulations. The results show that the proposed primate group models deliver networks with properties similar to real-life primate groups in terms of social network characteristics. (C) 2014 Elsevier B.V. All rights reserved.

    Journal Title

    Computer Networks

    Volume

    76

    Publication Date

    1-1-2015

    Document Type

    Article

    Language

    English

    First Page

    207

    Last Page

    226

    WOS Identifier

    WOS:000348882100014

    ISSN

    1389-1286

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