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International Business Intelligence and analytics conference in the lovely city of Budapest, Hungary
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Wednesday, October 14 • 16:05 - 16:20
Analyzing Networks in Python

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Networks encode complex information on all kinds of interactions. We look at how a network perspective can reveal valuable information about corruption in public procurement, internal collaboration at a multinational firm, and the tone of campaigns on twitter, all with the phenomenal NetworkX library.NetworkX is a highly productive and actively maintained library that interacts well with other libraries and environments. It inherits many Python strengths like fast prototyping and ease of teaching. We also discuss alternatives like graph-tool and igraph.

avatar for Johannes Wachs

Johannes Wachs

PhD Student, CEU Center for Network Science
Johannes Wachs is a PhD student at the Center for Network Science at Central European University. He is also affiliated with the Corruption Research Center Budapest, an nonprofit using data driven methods to investigate corruption risks in government. He has used network science as a consultant for Bondweaver, advising firms on internal communication and collaboration. Python is his preferred ecosystem in all these roles.

Wednesday October 14, 2015 16:05 - 16:20
Mátyás II.