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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email and instant messaging. Today there are a lot of online social networking sites where individuals volunteer information about themselves and their social networks. Social networking allows for like- minded people to interact with another. An online social networking site is a place where a user can create a profile and build a personal network that connects the user to other users‚ but maybe sharing all of this information is giving people the ability to learn so much about ourselves and can abuse
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to Network Management Phase 3 Discussion Board Professor Shawn Murray April 25‚ 2012 In comparing Osi models to non-Osi models I chose to discuss the FCAPS model. The acronym FCAPS stands for the five layers it is comprised of; 1. Fault management- network faults or problems are found and fixed. Potential problems are identified and addressed thus preventing them from reoccurring in the future. This minimizes downtime and potential costs. 2. Configuration management- The network is controlled
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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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GSM -> Architecture Architecture of the GSM network MobileStation BaseStationSubsystem Network Subsystem Following is the simple architecture diagram of GSM Network. [pic] A GSM network is composed of several functional entities‚ whose functions and interfaces are defined. Figure 1 shows the layout of a generic GSM network. The GSM network can be divided into three broad parts. The Mobile Station is carried by the subscriber‚ the Base Station Subsystem controls
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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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NETWORK MANAGEMENT SYSTEM (NMS) CHAPTER ONE INTRODUCTION Network Management System is simply a concept associated with all the utilities that is designed to allow any network administrator to monitor the network and ensure that it functions properly as designed. It typically monitors the components of both the hardware and software of the network. The utilities of a Network Management System typically records data from remote points on a network for central reporting to an administrator. Network
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Benefits of a Hierarchical Network There are many benefits associated with hierarchical network designs. Scalability Hierarchical networks scale very well. The modularity of the design allows you to replicate design elements as the network grows. Because each instance of the module is consistent‚ expansion is easy to plan and implement. For example‚ if your design model consists of two distribution layer switches for every 10 access layer switches‚ you can continue to add access layer switches
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