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Enhancing Social Media Insights Through Interactive Visual and Data Analytics

This project, advised by David S. Ebert and mentored by Shehzad Afzal, focuses on the design and implementation of interactive linked visualizations to analyze multivariate social media data. The goal is to develop a user-friendly interface that allows users to explore and interpret complex datasets effectively, providing deeper insights into social media trends and patterns. By harnessing advanced data analytics techniques, this project aims to enhance the decision-making process for businesses and researchers alike.

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Enhancing Social Media Insights Through Interactive Visual and Data Analytics

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  1. Advisor: David S. Ebert Mentor: Shehzad AfzalStudent: Niveah Abraham VISUAL AND DATA ANALYTICS PROJECT GOAL DESIGN PROCESS Implement interactive linked visualizations that support analyzing multivariate social media data. The data provided was the number of transportation, dengue and weather related tweets that occurred over a span of approximately 3 years in a certain geographic region. I chose these visualizations (displayed to the left) to study : 1) the relationship between number of tweets related to different topics 2) their distribution on the map 3) identify any patterns in the data. PROJECT SUMMARY Learned to use D3 visualization library to design web based visual analytic tools for social media (Twitter) data. D3 library supports creating visualizations using SVG, JavaScript, CSS and data-driven DOM manipulation. These visualizations could run in any web browser with no special installation requirements on client side. Data-intensive and computationally expensive tasks are performed on server side and only data summaries are transferred to client side that supports interactive data exploration and visualization. D3 makes it easy to couple data and visualizations together and DOM manipulations make visualizations adaptable to data changes. The project aims at designing D3 library based linked visualizations for social media data that include:- Multi-series line chart - Crossfiltering- Area charts - Choropleth map Area chart FUTURE GOALS Implementation completed in this project might be included in the ScatterBlogs (Web based Visual Analytics tool for Social Media Data) Project. Future extensions also include exploring 'Node.js' API(platform for server side scalable applications) for integration with D3 based applications.  Multi-Series Line chart Choropleth Crossfilter REFERENCES: Choropleth, Crossfilter, Area chart, MSL chart: D3js.org
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