Implementation of Enhanced Graph Layout Algorithm for Visualizing Social Network Data using NetworkX Library
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Abstract
Networks are critical to modern society, and a thorough understanding of how they behave is crucial to their efficient operation. Fortunately, data on networks is plentiful; by visualizing this data, it is possible to greatly improve our understanding. Firstly, this paper discusses about social media and the use of Social Media Analytics by businesses. Second, how we plan to use available resources to analyze the sample case of a given social network. As a Case Study, this paper will demonstrate how by starting at a single twitter account we can build up a network graph of twitter followers and then visualize that network using the NetworkX library. In this seed account is used to collect twitter followers. After that, Process the collected twitter data to generate an output file of relationships between twitter accounts. At last, Visualize network data in a network graph using the NetworkX library. In this paper Snowball sampling algorithm is used.
Keywords: Network visualization, Parameter focusing, social media Analysis, Network data analysis, Data manipulation
Keywords: Network visualization, Parameter focusing, social media Analysis, Network data analysis, Data manipulation
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