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connect any two keywords, (2) The eccentricity of keyword vertices, a well known path measure. Our analysis shows that K-H networks conform to the phenomenon of the shrinking world. Specifically, it shows that the number of vertices of any two keywords, that were not originally connected in the K-K networks, is exactly three
Can keyword-hashtag networks, derived from Big Data environments such as Twitter, yield clinicians a powerful tool to extrapolate patterns that may lead to development of new medical therapy and/or drugs? In our paper, we present a systematic network mining method to answer this question. We present HashnetMiner, a
using questionnaire from population sample. Our paper will enrich effort in marketing study. Our experiment use conversation data from Indonesian Twitter user contains specific brand keyword.
result in a dynamic tag cloud. To do this, we design and implement a Web interface that allows multiple users to input keywords and visualize their aggregate results in real time. Also, we empirically compare the results of dynamic tag clouds to ensure that they are visualized correctly. Through this research, the users can
parse to the filtering engine for filtering and cleaning the data sources using suitable keywords prior to store it in the large data repository. After that, the large data will be processed and analyzed using algorithm or mathematical calculation to determine the expected dengue cases. Then, the processed information will
synchronized with Twitter messages by specific keywords like “rain” or/and “landslide” to analyse the relationship between environmental phenomena and social responses in heavy rain conditions in the Hiroshima region. The results were analysed and visualized through a geovisualization technique to
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