Week 5-6
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A heatmap for node, link level distribution over a certain local measure.
x-axis: time (foldable according to aggregation level, suitable for O(N) measures)
y-axis: bins for the measure
hue: number of links / nodes
drawback: ineffective to discover the changes of active nodes.
A radar chart for group level (global) measures (updated at each slide)
drawback: less effective to show values -> table / parallel coordinate
Pre-computed
High complexity static local measures of every timestamp
when brushed, encode the derived value ~ max, min, ave, std
hypothesis: single measure on aggregated graph is of no use; we brush for a closer look at changes during the period
Compute on demand
Dynamic local measures at brushed period
Global measures at each brushed period
selected groups
whole network
is link-specific measures wanted? will there be difference between nodes and links?
do we need a measure table/list?
is it worthwhile to aggregate nodes into a super-node and re-analyze on measures?
Group (subgraph) selection (lasso), global statics radar), subgraph node-link
heatmap view
re-arrange the web page
think about a clearer transition from global to subgraph then to local