Authors of the paper have proposed a goal-directed system, SocialAction which is a great tool for any user or analyst and is designed to help users make discoveries.
Few of the many advantages of SocialAction are:
- Users can easily get an overview of the data and find outliers.
- User can easily spot sub groups and can concentrate on things of his/her interest.
- User can easily differentiate between different links, unscramble it and find patterns using a matrix overview.
- Analysts can find patterns in the structure and evaluate how individuals are affected by their surroundings.
- Balances systematic and flexible exploration.
- In large networks, when the layouts become hard to read, it helps by allowing users to accumulate nodes based on filter.
- Lets the user find the exact area of interest across the entire network.
- Offers a matrix summary so users can spot patterns across many different link types at once.
- Extraction of subgraphs, selection of only key nodes, and aggregation strategies are promising methods.
- Strongly links together the statistical and visual components of a network.
Other than these advantages, I really liked the "betweenness centrality" criteria and fading features of visualization, which makes it more sensible and lucid. All the visualizations in the paper are very very engaging and impressive.
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