Abstract
This thesis studies the characteristics of the network structure extracted from the public KTH web. The network structure was extracted with a crawler and consisted of 671,013 nodes and 23,515,683 links. The system is studied by applying statistical concepts from network science such as degree distribution and average path to reveal the characteristics of the network. The aim of the statistical analysis is to explore the robustness of the network and to answer if the network is scale-free. The thesis will examine the results from the study and compare the results to previous similar research. The results indicate that there might have been a change in regards to the network structure of websites since the last major research was done on the subject, likely caused by changes in web design. However, the results still indicate characteristics typical for a scale-free network. Due to irregularities in the crawler results may be slightly unreliable.
Background of the Study
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Background of the study
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Background of the Study
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Background of the Study
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Background of the Study
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Background of the Study
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Abstract
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Background of the Study
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON PUBLIC ACCOUNTING SERVICES
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