Neo4j Blog

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Samuel Yang This week’s featured community member is Samuel Yang, a.k.a @cyphersam, Senior Software Engineer at Comcast. Samuel Yang - This Week's Featured Community Member Sam is one of the most prolific... Read more →

Editor’s Note: This presentation was given by Galit Gontar and Robert Edwards at GraphConnect San Francisco in October 2016: Presentation Summary As a vertically integrated company, Glidewell Laboratories needs their processes and workflows to be flexible and open to innovation. However, an obscured manufacturing process was causing a variety of efficiency challenges in the developing of... Read more →

I am very happy to announce the first public release of the Neo4j graph algorithms library. You can use these graph algorithms on your connected data to gain new insights more easily within Neo4j. You can use these graph analytics to improve results from your graph data, for example by focusing on particular communities or favoring popular entities. We developed this library as part of... Read more →

Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of fake news has left Americans confused about even basic facts. They also found that a quarter of adults admitted to sharing fake news themselves,... Read more →

Cybersecurity is of critical importance to financial services firms. IT organizations must mitigate cybersecurity risk, both in terms of external access to the infrastructure and in understanding how a malware infection or attack can move across a particular network. These efforts are made challenging by the complexity of the data center. Between thousands of servers and a web of physical... Read more →

As you already know, Neo4j embodies relationships and connections between data. Not just that, it taps into the value of these relationships and connections. This is why we started GraphConnect: We wanted to put just as much emphasis on connecting our extensive community as we did on connecting data. GraphConnect was founded on the hopes of bringing together the graph database community,... Read more →