Complex network classification using partially self-avoiding deterministic walks

Complex networks have attracted increasing interest from various fields of science. It has been demonstrated that each complex network model presents specific topological structures which characterize its connectivity and dynamics. Complex network classification rely on the use of representative measurements that model topological structures. Although there are a large number of measurements, most of them are correlated. To overcome this limitation, this paper presents a new measurement for complex network classification based on partially self-avoiding walks. We validate the measurement on a data set composed by 40.000 complex networks of four well-known models. Our results indicate that the proposed measurement improves correct classification of networks compared to the traditional ones

Non-L\'evy mobility patterns of Mexican Me'Phaa peasants searching for fuelwood

We measured mobility patterns that describe walking trajectories of individual Me'Phaa peasants searching and collecting fuelwood in the forests of "La Monta\~na de Guerrero" in Mexico. These one-day excursions typically follow a mixed pattern of nearly-constant steps when individuals displace from their homes towards potential collecting sites and a mixed pattern of steps of different lengths when actually searching for fallen wood in the forest. Displacements in the searching phase seem not to be compatible with L\'evy flights described by power-laws with optimal scaling exponents. These findings however can be interpreted in the light of deterministic searching on heavily degraded landscapes where the interaction of the individuals with their scarce environment produces alternative searching strategies than the expected L\'evy flights. These results have important implications for future management and restoration of degraded forests and the improvement of the ecological services they may provide to their inhabitants.Comment: 15 pages, 4 figures. First version submitted to Human Ecology. The final publication will be available at http://www.springerlink.co

Texture descriptor combining fractal dimension and artificial crawlers

Texture is an important visual attribute used to describe images. There are many methods available for texture analysis. However, they do not capture the details richness of the image surface. In this paper, we propose a new method to describe textures using the artificial crawler model. This model assumes that each agent can interact with the environment and each other. Since this swarm system alone does not achieve a good discrimination, we developed a new method to increase the discriminatory power of artificial crawlers, together with the fractal dimension theory. Here, we estimated the fractal dimension by the Bouligand-Minkowski method due to its precision in quantifying structural properties of images. We validate our method on two texture datasets and the experimental results reveal that our method leads to highly discriminative textural features. The results indicate that our method can be used in different texture applications.Comment: 12 pages 9 figures. Paper in press: Physica A: Statistical Mechanics and its Application

THE EFFECT OF TERRORISM ON TOURISM: EVIDENCE FROM TURKEY

The aim of this study is to investigate the effects of terrorism and other factors on Turkey’s tourism sector using unit root tests for known structural break points. We found that the tourist arrivals series is trend stationary with known structural break points. For the case of Turkey, there are two separate periods of terrorism which statistically have a meaningful negative effect on tourist arrivals. However, considering the trend stationary, these effects are transitory rather than being permanent.The Scientific and Technological Research Council of Turkey with the project number: 106K09

Using deterministic tourist walk as a small-world metric on Watts-Strogatz networks

The Watts-Strogatz model (WS) has been demonstrated to effectively describe real-world networks due to its ability to reproduce the small-world properties commonly observed in a variety of systems, including social networks, computer networks, biochemical reactions, and neural networks. As the presence of small-world properties is a prevalent characteristic in many real-world networks, the measurement of "small-worldness" has become a crucial metric in the field of network science, leading to the development of various methods for its assessment over the past two decades. In contrast, the deterministic tourist walk (DTW) method has emerged as a prominent technique for texture analysis and network classification. In this paper, we propose the use of a modified version of the DTW method to classify networks into three categories: regular networks, random networks, and small-world networks. Additionally, we construct a small-world metric, denoted by the coefficient $\chi$, from the DTW method. Results indicate that the proposed method demonstrates excellent performance in the task of network classification, achieving over $90\%$ accuracy. Furthermore, the results obtained using the coefficient $\chi$ on real-world networks provide evidence that the proposed method effectively serves as a satisfactory small-world metric.Comment: 9 pages, 4 figure

Different approaches to community detection

A precise definition of what constitutes a community in networks has remained elusive. Consequently, network scientists have compared community detection algorithms on benchmark networks with a particular form of community structure and classified them based on the mathematical techniques they employ. However, this comparison can be misleading because apparent similarities in their mathematical machinery can disguise different reasons for why we would want to employ community detection in the first place. Here we provide a focused review of these different motivations that underpin community detection. This problem-driven classification is useful in applied network science, where it is important to select an appropriate algorithm for the given purpose. Moreover, highlighting the different approaches to community detection also delineates the many lines of research and points out open directions and avenues for future research.Comment: 14 pages, 2 figures. Written as a chapter for forthcoming Advances in network clustering and blockmodeling, and based on an extended version of The many facets of community detection in complex networks, Appl. Netw. Sci. 2: 4 (2017) by the same author

Popular music as cultural heritage: scoping out the field of practice

This paper sets out to deepen our understanding of the relationship between popular music and cultural heritage and to delineate the practices of popular music as cultural heritage. The paper illustrates how the term has been mobilised by a variety of actors, from the public to the private sector, to highlight the value of particular popular music manifestations and justify or encourage their preservation and diffusion for posterity. We focus on Austria, England, France and the Netherlands – countries with diverse popular music histories and with varying national and international reach. Popular music heritage is present in national and local public sector heritage institutions and practices in a number of ways. These range from the preservation and exhibition of the material culture of heritage in museums and archives, to a variety of ‘bottom-up’ initiatives, delineating a rich landscape of emblematic places, valued for their attachment to particular musicians or music scenes. The paper points to an underlying tension between the adoption and replication of conventional heritage practices to the preservation and remembrance of the popular music and its celebration as an express

Utility of behavioural science in landscape architecture: investigating the application of environment-behaviour theory and its research methods to fit the spatial agenda of design

This thesis attempts to address the behavioural science /design `applicability gap' problem currently concerning professional academics and researchers in landscape architecture and related disciplines. Building on research carried out by others, it attempts to gain further insight into the nature of the problem, how the gap specifically relates to landscape design, how it manifests itself in the design process, and how the problem might realistically be addressed. It is argued that in order to address the gap problem in landscape architecture, it is also necessary to address the wider problem of the lack of communication and understanding between research and design spheres. Therefore, the study is conducted from a combined research/design perspective. A critical review of the literature combined with project driven reflection -in- action analysis establishes a lack of compatibility of environment- behaviour theory, and its research methods, with the landscape designer's spatial approach. It is argued that there is a need for theory- building to facilitate the practical application of integrated spatial -behaviour analysis. As a result, a framework of spatial/behavioural compatible theories and concepts, and a set of practical tools and techniques, are conceptualised, and their application explored, for site survey analysis. The utility of the approach is demonstrated for embodying user needs evaluation within the design process and for providing a method for contextualising research. Finally, a shift in thinking is envisaged in which research and design approaches are reconciled

"Worlds of reason: the praxis of accounting for 'day visitor' behaviour in the Peak National Park" a qualititative investigation

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN039331 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

A Walk as Act / Enact / Re-enactment: Performing Psychogeography and Anthropology

This book’s keywords of re-enactment, replication and reconstruction pose a distinction between an original on the one hand and some kind of copy on the other. The practice of walking and everyday life in general suggest alternatives. Using the series of terms ‘act’, ‘enact’ and ‘re-enactment’, the chapter investigates creativity in ways that cannot be reduced to the dichotomy of original and copy. It begins with an account of some pedagogical experiments into walking and psychogeography, and then explores the act of walking in psychogeography. It moves on to the enactment of shared practice between psychogeography and anthropology, and finally the re-enactment of psychogeography as anthropology, and vice versa