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the problem
ANLP technologies are highly valuable but often less than usable and reliable…
Can be hard to make sense of results… how to go from reams of textual output to new knowledge and insight?
Completely automated processing can be dangerous! Can be wrong or obscure patterns, especially when trusted training data is not available.
one possible solution
Turn ANLP technologies into tools usable within exploratory data environments Enable users to directly visualize and analyze the
results of processing, always providing access to the underlying source data.
Users can then use these tools to further analysis, while simultaneously making their own decisions of the quality of processing results and possibly even correcting algorithms as they go.
visualize inferred social network
view message traffic and actual e-mail text
visualize clustering results – color coded to enron business e-mails
pie charts indicate categorizations of e-mail traffic
zoom and pan to explore large networks
filter network for ‘hubs’ of higher connectivity
filter, zoom, details on demand! view all messages to or from a given person…
…or view all message traffic between two people.
networks form various communities … some obvious, some not
can we process the inferred network to automatically identify communties at various granularities?
attempt social network analysis using a hierarchical agglomerative clustering approach, greedily combining groups into communities based on a criterion function that compares within-community edges against total connectivity.
show results of community analysis at various stages of progress… allowing interactive exploration of the agglomerative cluster tree
analysis scenario
filtered graph to isolate “power players” looked for “california” color labels on edges found John Shelk reporting on congressional
meetings to Tim Belden – all one way e-mails looking at Time Belden revealed ALL one-
way e-mails sent to him, no responses, etc seemed a bit suspicious… where is that info
going?
Analysis scenario
All one way e-mails to Tim Belden about various legal issues…
guilty!
future work a plenty improved colors, filtering, and brushing
category filtering, brushing from e-mails to graph histogram visualization over sliders
visualize network of messages themselves? temporal dimension of data
time-selection range slider animate evolution of the network
search search search tie to additional analyses
automated clustering finer social network analysis duplicate identification, acronym resolution, etc…
I’m Kenneth Lay. And I
approve this message.
