Research papers
High Quality, Scalable and Parallel Community Detection for Large Real Graphs. Arnau Prat-Pérez, David Dominguez-Sal, Josep-Lluis Larriba-Pey: WWW (2014)-
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Author Archives: Sparsity Technologies
How & when to use the recovery functionality
On this new edition of Sparksee’s how-to series, we would like to highlight the recovery functionality that will keep your database save at all times and it’s specially recommended for first-time users. Sparksee includes an automatic recovery manager which keeps … Continue reading
Recap of the year and future outlook for 2015
Approaching the end of this 2014 we believe it’s a good time to look back and take stock of all that we have been working on and happened to Sparksee on this year. One of the most important hits for 2014 has … Continue reading
Posted in News, Sparksee
Tagged 2014 recap, 2015, christmas, graph database events, holiday season
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SNA: How to predict the most viral users with Sparksee
Social Network Analysis (SNA) is one of those Use Cases that everyone mentions when talking about the strengths of graph databases. It’s not a secret that the network of people interacting together makes instantly a good image of a graph in … Continue reading
Posted in SNA, Sparksee
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Learning high-performance graph database management with Sparksee at the NoSQL matters Training Session
On Friday 21st of November from 9h to 13h Sparsity will host a Training Session as part of the NoSQL matters events. Skilled trainers from Sparksee will explain to the attendees how to take advantage of the graph learning about the most common queries … Continue reading
Posted in Events, News, Sparksee
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Sparsity is attending NoSQL Matters 2014
We are glad to announce that Sparsity Technologies is attending NoSQL Matters Conference 2014 that takes place in Barcelona on November 21st and 22nd. The conference will cover a broad spectrum of topics, including new products, use-cases and field reports of day-to-day operations of NoSQL infrastructures. … Continue reading
Posted in Events, News, Sparksee, Sparksee mobile
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Scalable Community Detection on the Cloud: SCD made product
In our post Graph Databases research: Social community search we introduced the Scalable Community Detection (SCD) algorithm, born from the research work of the Sparksee team altogether with DAMA-UPC. The basic idea behind SCD is to search for the number of transitive relations (triangles) and … Continue reading
Sparksee 5.1 new release!
We are proud to announce today the official release of Sparksee 5.1. During this half of year we have been working in providing a group of exciting features for the new version that we hope you’ll find interesting: A … Continue reading
Posted in News, Sparksee
Tagged blueprints, dynamic cache size, edge attributes, new release, node attributes, objective-C, rollback, sparksee 5.1, transactional graph
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Graph Databases research: Social community search
We would like today to share an interesting article recently published at DZone’s portal about the research the Sparksee team altogether with DAMA-UPC is working on about social community search. Community search is a very important aspect of Social Network … Continue reading
Posted in Research, Sparksee
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How to install & configure Sparksee mobile for iOS (C++)
Sparksee is the first graph database available for iOS devices applications, available, right now, in the C++ interface. In this article we will guide through a typical installation & configuration , so you can start working with Sparksee in your mobile development … Continue reading
Graph Databases research: Using semijoins programs to solve traversal queries
One of the most important challenges for graph databases is how to express graph queries and how to solve them efficiently. There is an important gap between the current industrial approach with libraries of very efficient APIs for procedural languages as Java, … Continue reading