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  • 1
    Language: English
    In: IEEE Network, Nov-Dec, 2010, Vol.24(6), p.6-9
    Description: We argue that we are witnessing a paradigm shift in science, which could be referred to as network science. Some of the fundamental findings and open problems in network science are reviewed. Since most questions are still largely open, it is expected that the network science will still attract researches with different background: mathematics, physics, biology, electrical and computer engineering, and sociology, to mention only a few.
    Keywords: Computer Networks -- Research ; Computer Networks -- Forecasts And Trends
    ISSN: 0890-8044
    E-ISSN: 1558156X
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  • 2
    In: PLoS ONE, 2016, Vol.11(8)
    Description: Economic complexity reflects the amount of knowledge that is embedded in the productive structure of an economy. By combining tools from network science and econometrics, a robust and stable relationship between a country’s productive structure and its economic growth has been established. Here we report that not only goods but also services are important for predicting the rate at which countries will grow. By adopting a terminology which classifies manufactured goods and delivered services as products, we investigate the influence of services on the country’s productive structure. In particular, we provide evidence that complexity indices for services are in general higher than those for goods, which is reflected in a general tendency to rank countries with developed service sector higher than countries with economy centred on manufacturing of goods. By focusing on country dynamics based on experimental data, we investigate the impact of services on the economic complexity of countries measured in the product space (consisting of both goods and services). Importantly, we show that diversification of service exports and its sophistication can provide an additional route for economic growth in both developing and developed countries.
    Keywords: Research Article ; Social Sciences ; Social Sciences ; Social Sciences ; Ecology And Environmental Sciences ; Research And Analysis Methods ; Physical Sciences ; People And Places ; Social Sciences ; Social Sciences ; Social Sciences ; Physical Sciences
    E-ISSN: 1932-6203
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  • 3
    In: PLoS ONE, 2014, Vol.9(6)
    Description: Many contagions spread over various types of communication networks and their spreading dynamics have been extensively studied in the literature. Here we propose a general model for the concurrent spread of an arbitrary number of contagions in complex networks. The model is stochastic and runs in discrete time, and includes two widely used mechanisms by which a node can change its state. The first, termed the spontaneous state change mechanism, describes spontaneous transition to another state, while the second, termed the contact-induced state change mechanism, describes acquiring other contagions due to contact with the neighbors. We consider reactive discrete-time spreading processes of multiple concurrent contagions where time steps are of finite size without neglecting the possibility of multiple infecting events in a single time step. An essential element for making the model numerically tractable is the use of an approximation for the probability that a node transits to a specific state given any set of neighboring states. Different transmission probabilities may be present between each pair of states. We also derive corresponding continuous–time equations that are simple and intuitive. The model includes many well-known epidemic and rumor spreading models as a special case and it naturally captures spreading processes in multiplex networks.
    Keywords: Research Article ; Biology And Life Sciences ; Computer And Information Sciences ; Medicine And Health Sciences ; Physical Sciences ; Research And Analysis Methods
    E-ISSN: 1932-6203
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  • 4
    In: PLoS ONE, 2018, Vol.13(8)
    Description: Economic complexity reflects the amount of knowledge that is embedded in the productive structure of an economy. It resides on the premise of hidden capabilities—fundamental endowments underlying the productive structure. In general, measuring the capabilities behind economic complexity directly is difficult, and indirect measures have been suggested which exploit the fact that the presence of the capabilities is expressed in a country’s mix of products. We complement these studies by introducing a probabilistic framework which leverages Bayesian non-parametric techniques to extract the dominant features behind the comparative advantage in exported products. Based on economic evidence and trade data, we place a restricted Indian Buffet Process on the distribution of countries’ capability endowment, appealing to a culinary metaphor to model the process of capability acquisition. The approach comes with a unique level of interpretability, as it produces a concise and economically plausible description of the instantiated capabilities.
    Keywords: Research Article ; Social Sciences ; Social Sciences ; Earth Sciences ; People And Places ; People And Places ; People And Places ; People And Places ; People And Places ; Social Sciences ; Biology And Life Sciences ; Physical Sciences
    E-ISSN: 1932-6203
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  • 5
    Language: English
    In: International Journal of Psychophysiology, July 2014, Vol.93(1), pp.162-166
    Description: Machine learning techniques that combine multiple classifiers are introduced for classifying adult attention deficit hyperactivity disorder (ADHD) subtypes based on power spectra of EEG measurements. The analyzed sample includes 117 adults (67 ADHD, 50 controls). The measurements are taken for four different conditions: two resting conditions (eyes open and eyes closed) and two neuropsychological tasks (visual continuous performance test and emotional continuous performance test). We divide the sample into four data sets, one for each condition. Each data set is used for training of four different support vector machine classifiers, while the output of classifiers is combined using logical expression derived from the Karnaugh map. The results show that this approach improves the discrimination between ADHD and control groups, as well as between ADHD subtypes. ► Support vector machines are used to classify the ADHD and control groups. ► Classification results are improved by implementing voter as a logical expression. ► Applicability of combining multiple conditions and QEEG parameters is pronounced.
    Keywords: ADHD ; EEG Power Spectra ; Support Vector Machines ; Karnaugh Map ; Anatomy & Physiology ; Psychology
    ISSN: 0167-8760
    E-ISSN: 1872-7697
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  • 6
    Language: English
    In: Communications in Nonlinear Science and Numerical Simulation, March 2014, Vol.19(3), pp.627-637
    Description: A Susceptible-Infected-Susceptible (SIS) spreading process, occurring on complex networks that are characterized by a special form of contact dynamics called “acquisition exclusivity”, is studied. Assuming statistical independence of joint events, we find analytic solutions for the stationary probabilities that network nodes are infected, and more importantly, find that these solutions are independent of the network topology. We explore the possibilities to use the studied set-up as an engineering solution for controlled spreading on technological networks. In that context, an example for controlled sharing of viral countermeasures in networks is presented. Considering the high epidemic threshold that characterizes the process, “acquisition exclusivity” is suggested as a method for eradication of viral infections from networks.
    Keywords: Networks ; Stochastic Spreading ; Sis ; Threshold Values ; Infection Eradication ; Applied Sciences
    ISSN: 1007-5704
    E-ISSN: 1878-7274
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  • 7
    Language: English
    In: Chaos, Solitons and Fractals, Feb, 2014, Vol.59, p.35(7)
    Description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.chaos.2013.11.007 Byline: Lasko Basnarkov, Gregory S. Duane, Ljupco Kocarev Abstract: We study the synchronization of a coupled pair of one-dimensional Kuramoto-Sivashinsky systems, with equations augmented by a third-space-derivative term. With two different values of a system parameter, the two systems synchronize in the generalized sense. The phenomenon persists even in the extreme case when one of the equations is missing the extra term. Master-slave synchronization error is small, so the generalized synchronization relationship is useful for predicting the state of the master from that of the slave, or conversely, for controlling the slave. The spatial density of coupling points required to bring about generalized synchronization appears to be related to the wavelength of traveling wave solutions, and more generally to the width of coherent structures in the separate systems. Article History: Received 22 August 2013; Accepted 16 November 2013
    ISSN: 0960-0779
    Source: Cengage Learning, Inc.
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  • 8
    Language: English
    In: Physica A: Statistical Mechanics and its Applications, Oct 15, 2015, Vol.436, p.272(14)
    Description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.physa.2015.03.090 Byline: Igor Tomovski, Ljupco Kocarev Abstract: We introduce a mathematical framework for identification of network topology, based on data collected from infectious SIS process occurring on a network. An exact expression for the weight of each network link (existing or not) as a function of infectious statistics, is obtained. An algorithm for proper implementation of the analyzed concept is suggested and the validity of the obtained result is confirmed by numerical simulations performed on a number of synthetic (computer generated) networks. Article History: Received 29 May 2014; Revised 18 February 2015
    Keywords: Network Architectures – Health Aspects ; Network Architectures – Statistics
    ISSN: 0378-4371
    Source: Cengage Learning, Inc.
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  • 9
    Language: English
    In: International Journal of Electrical Power and Energy Systems, 2015, Vol.73, p.157(6)
    Description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ijepes.2015.05.012 Byline: Vladimir Zdraveski, Mirko Todorovski, Ljupco Kocarev Abstract: * We present an algorithm for dynamic intelligent load balancing (DILB) in a PDN. * The algorithm is heuristic, generic, recursive, fast and applicable in a real PDN. * We improve the overall load balance in a PDN and minimize active power losses. * We test the algorithm on existing PDN models and address the achieved improvement. Article History: Received 27 June 2014; Revised 30 April 2015; Accepted 5 May 2015
    Keywords: Algorithms – Analysis
    ISSN: 0142-0615
    Source: Cengage Learning, Inc.
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  • 10
    Language: English
    In: Physica A: Statistical Mechanics and its Applications, 2010, Vol.389(11), pp.2290-2299
    Description: Rich-club and page-club coefficients and their null models are introduced for directed graphs. Null models allow for a quantitative discussion of the rich-club and page-club phenomena. These coefficients are computed for four directed real-world networks: Arxiv High Energy Physics paper citation network, Web network (released from Google), Citation network among US Patents, and email network from a EU research institution. The results show a high correlation between rich-club and page-club ordering. For journal paper citation network, we identify both rich-club and page-club ordering, showing that “elite” papers are cited by other “elite” papers. Google web network shows partial rich-club and page-club ordering up to some point and then a narrow declining of the corresponding normalized coefficients, indicating the lack of rich-club ordering and the lack of page-club ordering, i.e. high in-degree (PageRank) pages purposely avoid sharing links with other high in-degree (PageRank) pages. For UC patents citation network, we identify page-club and rich-club ordering providing a conclusion that “elite” patents are cited by other “elite” patents. Finally, for email communication network we show lack of both rich-club and page-club ordering. We construct an example of synthetic network showing page-club ordering and the lack of rich-club ordering.
    Keywords: Directed Networks ; Rich-Club Coefficient ; Page-Club Coefficient ; Real Networks ; Physics
    ISSN: 0378-4371
    E-ISSN: 1873-2119
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