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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
graph formation framework and (2). a preliminary analysis of retweet graphs and associated diffusion metrics for health tweets. Given the ambiguous nature (due to polysemy and sarcasm) of health relatedness of tweets collected with keyword based matches, our initial study is limited to « 200 health related tweets
media topics associated with each topic's keyword analysis. In our research we further explored the potential usage and application of social media analytics tools within local government and found that social media analytics can be of great value for the government in both special events and routine activities. Major
engage in counterintelligence to uncover undercover agents.We also discuss several mechanisms that can be used to detect terrorists using the overt and covert communication channels on online social networks. Moreover, we show that the keyword-only flagging mechanism used by US Department of Homeland Security to detect
which follows a keyword over multiple social media platforms (e.g. Twitter, Facebook), maintaining the aggregated data in a no-SQL database. Afterwards, in order to choose the most suitable system for our application, we will analyze the no_SQL database systems, define their architecture and data model, and depending on
: author keywords co‐occurrence and co‐authorship network analysis.
Results
Of the 2197 articles in the field of Endodontology identified with altmetrics, 192 had altmetric scores >5 (top 5%). Considering the total mentions amongst all altmetric resources, the Journal of Endodontics had the
. In any politically motivated posting there are some dominant keywords. At first, we have prepared a dictionary consisting of unique words collected from political or nonpolitical posts or comments and then trained using Naïve Bayes algorithm based on probability theory. To identify the sentiment expressed in a
interest. The framework utilizes a novel query formulation method in combination with relevance prediction. The query formulation method relies on the construction of a graph of keywords for generating refined queries about the event/news story of interest based on the results of a firststep high precision query. Relevance
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