To Do: Run Majority Model, w/ some initial colouring and graph, returns # of black ndoes/how long it took at some point of convergence (static or blinking). - Done
New graph at each iteration. - Done
Implement adversary at the beginning. - Done
Display graphs with data.
Notes:
Adversary has a set of tools and an objective. Each has a real world similarity.
Tool: Change node colour Tool: Add fake Node Tool: Add/remove edge
Simple Objective: Wants one colour to win Complex Objective: Create disagreement, different ends of edges have different opinions Complex Objective: Wants a polarised society.
Two set ups: #1: Budget k, can change colour of k nodes #2: Budget k, modify k edges
Want to study the influence of the adversary,
x-axis: k budget y-axis: number of white nodes Run 5 times to get the data
Think different strategies, to make adversary as smart as possible.
NEED: A diagram, each with different strategies
Two Comments:
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Shifted towards experiment, still try to get the theoretical side
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Hardness result, massage it for future results.