ocial network analysis (related to network theory) has emerged as a key technique in modern sociology. It has also gained a significant following in anthropology‚ biology‚ communication studies‚ economics‚ geography‚ information science‚ organizational studies‚ social psychology‚ and sociolinguistics‚ and has become a popular topic of speculation and study. People have used the idea of "social network" loosely for over a century to connote complex sets of relationships between members of social
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Political implications in the United States resulting from Judge John Roberts and the U.S. Supreme Court ruling regarding the Patient Protection and Affordable Care Act [pic] Collaborative Authors: Gentry Hill ( Brian Kingsbury ( Henry Singletary ( Jessica Hawkins ( Catherine Alqallaf Stetson University August 15‚ 2012 Contents Contents i Abstract ii Introduction 1
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providers and form a provider network‚ and the members must see providers solely from this network if they have their health care paid for by HMOs. HMOs are
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Results Properties of social networks Mean network size was 80.67 (SD = 39.84‚ Mdn = 75)‚ with a range of 10–279 (Figure 1). The shape of the distribution is similar to that found in other studies of social networks (Bernard et al.‚ 1990; Hill & Dunbar‚ 2003). The size of the kin and friend networks is given in Table 1. Multilevel models The results of the two models are presented Table 2. The intraclass correlations (ICCx) of the models were 0.18 for Model 1 and 0.24 for Model 2
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wireless network is the best. IP networks form the backbone of worldwide digital networking. They have encouraged the merger of voice‚ data‚ and radio waves‚ which can be digitized into packets and sent via any digital network (Turban‚ Volonino). This convergence is happening on a much more global scale and is changing the way in which people‚ devices‚ and applications communicate (Turban‚ Volonino). Every aspect of enterprise depends on mobility and being mobile and having great network is a big
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PAPER ON ARTIFICIAL NEURAL NETWORKS ABSTRACT The developments in Artificial Intelligence (AI) appear promising‚ but when applied to real world intelligent task such as in speech‚ vision and natural language processing‚ the AI techniques show their inadequacies and ‘brittleness’ in the sense that they become highly task specific. The computing models inspired by biological neural networks can provide new directions to solve problems arising in natural tasks.
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Pajek Program for Analysis and Visualization of Large Networks Reference Manual List of commands with short explanation version 2.00 Vladimir Batagelj and Andrej Mrvar Ljubljana‚ September 26‚ 2010 c 1996‚ 2010 V. Batagelj‚ A. Mrvar. Free for noncommercial use. PdfLaTex version October 1‚ 2003 Vladimir Batagelj Department of Mathematics‚ FMF University of Ljubljana‚ Slovenia http://vlado.fmf.uni-lj.si/ vladimir.batagelj@fmf.uni-lj.si Andrej Mrvar Faculty of Social Sciences University
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The 1976 film‚ “Network” beautifully illustrates the connections between society and the media that we choose to consume. The film is centered around the fictional television network UBS (short for Union Broadcasting System’s). It details the fall‚ rise‚ and fall of a long-term anchor of the network; all while showing the audience the inner-workings of a major media conglomerate. We see executives choose profit over morals and human decency‚ as well as‚ the mental stress that individuals in the entertainment
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factors: (1) Economic pressures (2) Government policies‚ laws‚ regulations (3) Stakeholders (4) Cultures and customs - Organization factors (1) Strategy (2) Technology (3) Human capital (4) HR policy (5) Employee acceptance (6) Cost implications In my opinion‚ I would say Economic pressures and Cultures and customs are the most important in external factors; Employee acceptance is the most important in organization factors. For external factors‚ it is easy to explain why I think Economic
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Body Area Networks ∗ Arif Onder ISIKMAN∗ ‚ Loris Cazalon† ‚ Feiquan Chen‡ ‚ Peng Li§ Email: isikman@student.chalmers.se‚ † Email: loris.cazalon@telecom-bretagne.eu‚ ‡ Email: feiquan@student.chalmers.se‚ § Email: lpeng@student.chalmers.se Chalmers University of Technology‚ SE-412 96‚ Gothenburg‚ Sweden Abstract—Recent technologies in electronics allow to build wireless sensor networks in on or around the human body. Body Area Networks (BAN‚ is also called Body Sensor Networks) is not only used
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