October 18, 2019

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Working on the blockchain gang: Crunching and visualizing bitcoin data

Working on the blockchain gang: Crunching and visualizing bitcoin data

Benedikt Koehler offers approaches to analyzing and visualizing bitcoin dataaccessing and downloading the blockchain, transforming the data into a networked data format, identifying hubs and clusters, and visualizing the results as dynamic network graphsso that typical patterns and anomalies can quickly be identified.

Talk Title Working on the blockchain gang: Crunching and visualizing bitcoin data
Speakers Benedikt Koehler (DataLion)
Conference Strata + Hadoop World
Conf Tag Big Data Expo
Location San Jose, California
Date March 29-31, 2016
URL Talk Page
Slides Talk Slides
Video

After social-media and smartphone data, cryptocurrency data will be the third wave of exciting new data sources for analyzing human behavior, in this case through economic transactions. Because every transaction refers to all previous transactions, the economics of bitcoin create a genuine networked structure. Furthermore, as had been the case with social-media data, one of the key features of bitcoin is that all its transactions are recorded in the blockchain and are publicly available. Benedikt Koehler offers approaches to analyzing and visualizing bitcoin data—accessing and downloading the blockchain, transforming the data into a networked data format, identifying hubs and clusters, and visualizing the results as dynamic network graphs—so that typical patterns, such as donations to different causes, and anomalies (e.g., hubs with very large numbers of transactions or abnormally large centrality or betweenness parameters) can quickly be identified.

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