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Katherine Faust; John Skvoretz |
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Title |
Comparing Networks Across Space and Time, Size and Species |
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Journal Article |
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Year |
2002 |
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Sociological Methodology |
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Socio Meth |
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32 |
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1 |
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267-299 |
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We describe and illustrate methodology for comparing networks from diverse settings. Our empirical base consists of 42 networks from four kinds of species (humans, nonhuman primates, nonprimate mammals, and birds) and covering distinct types of relations such as influence, grooming, and agonistic encounters. The general problem is to determine whether networks are similarly structured despite their surface differences. The methodology we propose is generally applicable to the characterization and comparison of network2013level social structures across multiple settings, such as different organizations, communities, or social groups, and to the examination of sources of variability in network structure. We first fit a p* model (Wasserman and Pattison 1996) to each network to obtain estimates for effects of six structural properties on the probability of the graph. We then calculate predicted tie probabilities for each network, using both its own parameter estimates and the estimates from every other network in the collection. Comparison is based on the similarity between sets of predicted tie probabilities. We then use correspondence analysis to represent the similarities among all 42 networks and interpret the resulting configuration using information about the species and relations involved. Results show that similarities among the networks are due more to the kind of relation than to the kind of animal. |
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University of California, Irvine, ; University of South Carolina |
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American Sociological Association 2002 |
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Equine Behaviour @ team @ |
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5001 |
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Milo, R.; Shen-Orr, S.; Itzkovitz, S.; Kashtan, N.; Chklovskii, D.; Alon, U. |
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Title |
Network Motifs: Simple Building Blocks of Complex Networks |
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Journal Article |
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2002 |
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Science |
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Science |
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298 |
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5594 |
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824-827 |
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Complex networks are studied across many fields of science. To uncover their structural design principles, we defined “network motifs,” patterns of interconnections occurring in complex networks at numbers that are significantly higher than those in randomized networks. We found such motifs in networks from biochemistry, neurobiology, ecology, and engineering. The motifs shared by ecological food webs were distinct from the motifs shared by the genetic networks of Escherichia coli and Saccharomyces cerevisiae or from those found in the World Wide Web. Similar motifs were found in networks that perform information processing, even though they describe elements as different as biomolecules within a cell and synaptic connections between neurons in Caenorhabditis elegans. Motifs may thus define universal classes of networks. This approach may uncover the basic building blocks of most networks. |
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10.1126/science.298.5594.824 |
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Equine Behaviour @ team @ |
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5032 |
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Hemelrijk, C.K. |
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Title |
Self-Organization and Natural Selection in the Evolution of Complex Despotic Societies |
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2002 |
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Biol Bull |
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Biol Bull |
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202 |
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3 |
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283-288 |
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Differences between related species are usually explained as separate adaptations produced by individual selection. I discuss in this paper how related species, which differ in many respects, may evolve by a combination of individual selection, self-organization, and group-selection, requiring an evolutionary adaptation of only a single trait. In line with the supposed evolution of despotic species of macaques, we take as a starting point an ancestral species that is egalitarian and mildly aggressive. We suppose it to live in an environment with abundant food and we put the case that, if food becomes scarce and more clumped, natural selection at the level of the individual will favor individuals with a more intense aggression (implying, for instance, biting and fierce fighting). Using an individual-centered model, called DomWorld, I show what happens when the intensity of aggression increases. In DomWorld, group life is represented by artificial individuals that live in a homogeneous world. Individuals are extremely simple: all they do is flock together and, upon meeting one another, they may perform dominance interactions in which the effects of winning and losing are self-reinforcing. When the intensity of aggression in the model is increased, a complex feedback between the hierarchy and spatial structure results; via self-organization, this feedback causes the egalitarian society to change into a despotic one. The many differences between the two types of artificial society closely correspond to those between despotic and egalitarian macaques in the real world. Given that, in the model, the organization changes as a side effect of the change of one single trait proper to an egalitarian society, in the real world a despotic society may also have arisen as a side effect of the mutation of a single trait of an egalitarian species. If groups with different intensities of aggression evolve in this way, they will also have different gradients of hierarchy. When food is scarce, groups with the steepest hierarchy may have the best chance to survive, because at least a small number of individuals in such a group may succeed in producing offspring, whereas in egalitarian societies every individual is at risk of being insufficiently fed to reproduce. Therefore, intrademic group selection (selection within an interbreeding group) may have contributed to the evolution of despotic societies. N1 - |
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Equine Behaviour @ team @ |
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5201 |
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Borgatti, S.P., Everett, M.G., Freeman, L.C. |
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Ucinet for Windows: Software for Social Network Analysis |
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2002 |
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Analytic Technologies |
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Harvard, MA |
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Equine Behaviour @ team @ |
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5239 |
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Author |
Parrish, J.K.; Viscido, S.V.; Grunbaum, D. |
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Title |
Self-Organized Fish Schools: An Examination of Emergent Properties |
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Journal Article |
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Year |
2002 |
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Biol Bull |
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Biol Bull |
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202 |
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3 |
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296-305 |
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Heterogeneous, “aggregated” patterns in the spatial distributions of individuals are almost universal across living organisms, from bacteria to higher vertebrates. Whereas specific features of aggregations are often visually striking to human eyes, a heuristic analysis based on human vision is usually not sufficient to answer fundamental questions about how and why organisms aggregate. What are the individual-level behavioral traits that give rise to these features? When qualitatively similar spatial patterns arise from purely physical mechanisms, are these patterns in organisms biologically significant, or are they simply epiphenomena that are likely characteristics of any set of interacting autonomous individuals? If specific features of spatial aggregations do confer advantages or disadvantages in the fitness of group members, how has evolution operated to shape individual behavior in balancing costs and benefits at the individual and group levels? Mathematical models of social behaviors such as schooling in fishes provide a promising avenue to address some of these questions. However, the literature on schooling models has lacked a common framework to objectively and quantitatively characterize relationships between individual-level behaviors and group-level patterns. In this paper, we briefly survey similarities and differences in behavioral algorithms and aggregation statistics among existing schooling models. We present preliminary results of our efforts to develop a modeling framework that synthesizes much of this previous work, and to identify relationships between behavioral parameters and group-level statistics. N1 - |
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Equine Behaviour @ team @ |
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5254 |
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Author |
Seeley, T.D. |
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Title |
When Is Self-Organization Used in Biological Systems? |
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Journal Article |
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2002 |
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Biol Bull |
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Biol Bull |
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202 |
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3 |
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314-318 |
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Self-organization, or decentralized control, is widespread in biological systems, including cells, organisms, and groups. It is not, however, the universal means of organization. I argue that a biological system will be self-organized when it possesses a large number of subunits, and these subunits lack either the communicational abilities or the computational abilities, or both, that are needed to implement centralized control. Such control requires a well informed and highly intelligent supervisor. I stress that the subunits in a self-organized system do not necessarily have low cognitive abilities. A lack of preadaptations for evolving a system-wide communication network can prevent the evolution of centralized control. Hence, sometimes even systems whose subunits possess high cognitive abilities will be self-organized. N1 - |
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Equine Behaviour @ team @ |
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5257 |
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Author |
Rogers, L.J. |
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Title |
Evolution of Side Biases: Motor versus Sensory Lateralization |
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2002 |
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Side Bias: A Neuropsychological Perspective |
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3-40-40 |
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Medicine & Public Health |
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Springer Netherlands |
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Mandal, M.K.; Bulman-Fleming, M.B.; Tiwari, G. |
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978-0-306-46884-1 |
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Equine Behaviour @ team @ |
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5357 |
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Barton, R. |
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Title |
The evolutionary ecolgy of the primate brain |
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2002 |
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Comparative Primate Socioecology |
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167-204 |
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Cambridge University Press |
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Cambridge |
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Lee, P. C. |
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ISBN-13: 9780521004244 | ISBN-10: 0521004241 |
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Equine Behaviour @ team @ |
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5450 |
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Garamszegi, L.Z.; Møller, A.P.; Erritzøe, J. |
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Title |
Coevolving avian eye size and brain size in relation to prey capture and nocturnality |
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2002 |
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Proceedings of the Royal Society of London. Series B: Biological Sciences |
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Proc Roy Soc Lond B Biol Sci |
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269 |
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1494 |
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961-967 |
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adaptation; behaviour; brain size; coevolution; eye size; vision |
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Behavioural adaptation to ecological conditions can lead to brain size evolution. Structures involved in behavioural visual information processing are expected to coevolve with enlargement of the brain. Because birds are mainly vision–oriented animals, we tested the predictions that adaptation to different foraging constraints can result in eye size evolution, and that species with large eyes have evolved large brains to cope with the increased amount of visual input. Using a comparative approach, we investigated the relationship between eye size and brain size, and the effect of prey capture technique and nocturnality on these traits. After controlling for allometric effects, there was a significant, positive correlation between relative brain size and relative eye size. Variation in relative eye and brain size were significantly and positively related to prey capture technique and nocturnality when a potentially confounding variable, aquatic feeding, was controlled statistically in multiple regression of independent linear contrasts. Applying a less robust, brunching approach, these patterns also emerged, with the exception that relative brain size did not vary with prey capture technique. Our findings suggest that relative eye size and brain size have coevolved in birds in response to nocturnal activity and, at least partly, to capture of mobile prey. |
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10.1098/rspb.2002.1967 |
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Equine Behaviour @ team @ |
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5452 |
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Heyes, C.M. |
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Transformation and associative theories of imitation. |
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2002 |
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Imitation in animals and artefacts |
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501-523 |
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MIT Press |
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Cambridge, MA. |
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Dautenhahn, K. ; Nehaniv, C. L. |
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Equine Behaviour @ team @ |
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5602 |
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