The Story behind Russian Twitter Trolls: How They Got Away with Looking Human – and How to Catch Them in the Future

It’s no secret that Russian operatives used Twitter and other social media platforms in attempt to influence the most recent U.S. presidential election cycle with fake news. The question most people aren’t asking is: How did they do it? More… Read more →

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The Top 13 Resources for Understanding Graph Theory & Algorithms

Recently we announced the availability of some super efficient graph algorithms for Neo4j. In case you missed the announcement, we now have an easy-to-use library of graph algorithms that are tuned to make full use of compute resources. As part… Read more →

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Detecting Fake News with Neo4j & KeyLines

Fake news is one of the more troubling trends of 2017. The term is liberally applied to discredit everything, from stories with perceived bias through to ‘alternative facts’ and downright lies. It has a warping effect on public opinion and… Read more →

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Using NLP + Neo4j for a Social Media Recommendation Engine

GraphAware is a Gold sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Introduction In recent years, the rapid growth of social media communities has created a vast amount of digital documents on… Read more →

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My Time as a Neo4j Intern: Thoughts on an Authentic Culture

Last semester, my professor told us to “pick an internship based on its quality and what you’ll learn, not on your assumed career path.” That seemed like great advice for me, especially since I hadn’t yet decided on which field… Read more →

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Visualize Your Social Data Quickly and Easily with Neo4j [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Connecting your social media accounts with Neo4j is perhaps one of the most exciting ways to… Read more →

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