Graph Analysis of Russian Twitter Trolls using Neo4j * 4:30PM, Wed Feb 21, 2018 in Gates B03

["Dave Farber" <dave () farber net>]

---------- 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