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Graph Analysis of Russian Twitter Trolls using Neo4j * 4:30PM, Wed Feb 21, 2018 in Gates B03
From: "Dave Farber" <dave () farber net>
Date: Mon, 19 Feb 2018 22:19:46 +0000
---------- Forwarded message --------- From: Dennis Allison <allison () stanford edu> Date: Mon, Feb 19, 2018 at 4:44 PM Subject: [EE CS Colloq] Graph Analysis of Russian Twitter Trolls using Neo4j * 4:30PM, Wed Feb 21, 2018 in Gates B03 To: <dave () farber net> Stanford EE Computer Systems Colloquium 4:30 PM, Wednesday, Feb 21, 2018 NEC Auditorium, Gates Computer Science Building Room B3 http://ee380.stanford.edu Graph Analysis of Russian Twitter Trolls using Neo4j William Lyon Neo4j *About the talk: * As part of the US House Intelligence Committee investigation into how Russia may have influenced the 2016 US election, Twitter released the screen names of nearly 3000 Twitter accounts tied to Russia's Internet Research Agency. These accounts were immediately suspended, removing the data from Twitter.com and Twitter's developer API. In this talk, we show how we can reconstruct a subset of the Twitter network of these Russian troll accounts and apply graph analytics to the data using the Neo4j graph database to uncover how these accounts were spreading fake news. This case study style presentation will show how we collected and munged the data, taking advantage of the flexibility of the property graph. We'll dive into how NLP and graph algorithms like PageRank and community detection can be applied in the context of social media to make sense of the data. We'll show how Cypher, the query language for graphs is used to work with graph data. And we'll show how visualization is used in combination with these algorithms to interpret results of the analysis and to help share the story of the data. No familiarity with graphs or Neo4j is necessary as we'll start with a brief overview of graph databases and Neo4j. *About the speaker: * [image: [speaker photo]] William Lyon is a Developer Relations Engineer at Neo4j, the open source graph database. As a software developer on the Developer Relations team, he works on building tools to integrate Neo4j with other technologies and helping developers build applications with Neo4j. He also leads the Neo4j Data Journalism Accelerator Program, helping data journalists use graphs to make sense of data. Prior to joining Neo4j, William worked as a software engineer for several startups, building software for the real estate, predictive analytics, and quantitative finance industries. William holds a Masters degree in Computer Science from the University of Montana. *Contact information:* You can find William Lyon online at lyonwj.com or on Twitter at @lyonwj. *ABOUT THE COLLOQUIUM:* See the Colloquium website, http://ee380.stanford.edu, for scheduled speakers, FAQ, and additional information. Stanford and SCPD students can enroll in EE380 for one unit of credit. Anyone is welcome to attend; talks are webcast live and archived for on-demand viewing over the web. *MAILING LIST INFORMATION:* This announcement is sent to multiple mailing lists. If you are signed up on our private EE380 list you can remove yourself using the widget at the upper left hand corner of the Colloquium web page. Other lists have other management protocols. ------------------------------------------- Archives: https://www.listbox.com/member/archive/247/=now RSS Feed: https://www.listbox.com/member/archive/rss/247/18849915-ae8fa580 Modify Your Subscription: https://www.listbox.com/member/?member_id=18849915&id_secret=18849915-aa268125 Unsubscribe Now: https://www.listbox.com/unsubscribe/?member_id=18849915&id_secret=18849915-32545cb4&post_id=20180219172008:06A08DE0-15C3-11E8-BFF2-C704178144D2 Powered by Listbox: http://www.listbox.com
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- Graph Analysis of Russian Twitter Trolls using Neo4j * 4:30PM, Wed Feb 21, 2018 in Gates B03 Dave Farber (Feb 19)