# Graph Theory

I have this rosy view of graph theory being elegant, but I’ve never set aside time to dive deeply into it. One day…

 Random Link ¯\_(ツ)_/¯ Nov 13, 2017 » Modeling Influence with Graphs 3 min; updated Jan 11, 2022 Graphs, $$G = (V, E)$$ $$N \times N$$ Adjacency Matrix $$N \times L$$ Incidence Matrix $$A = \begin{bmatrix}0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 1 & 0 & 0 & 0 \\ 0 & 0 & 0 & 1\end{bmatrix}$$ $$\hat{A} = \begin{bmatrix}1 & 0 & -1 & 0 \\ -1 & 1 & 0 & 0 \\ 0 & -1 & 1 & -1 \\ 0 & 0 & 0 & 1\end{bmatrix}$$ $$V$$ = set of $$N$$ nodes$$E$$ = set of $$L$$ links $$A_{ij} = 1$$ iff $$(i, j) \in E$$Note that $$A$$ need not be symmetric for directed graphs.... Jan 27, 2020 » Tech and Democracy 5 min; updated Jan 7, 2022 Political Ads Cambridge Analytica (CA) paid people to take in-app survey; mined FB profile data including friends' data; crafted tailored sensitive ads to sway-able voters. Elections are about emotions, not facts. Data science and social media can help us make sense of and manipulate the chaos. An alternative argument. Political misinformation is: Weak in high profile partisan races because pre-existing beliefs hardly change Strong when people don’t have string pre-existing opinions, e.... Oct 13, 2021 » Towards a Collaborative Web Browser 3 min; updated Jan 7, 2022 One of the grand dreams of the web is bringing people together so that they may find relevant information. Sometimes this is implicit, e.g. Google Search’s PageRank learns from inter-page links which are mostly made by people, but there may be room for explicit collaboration when navigating the web. This section explores such explicit attempts. A Group Asynchronous Browsing (GAB) Server Premise: Users submit their subject hierarchies (bookmarks) to the GAB server....