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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Archives
Category Archives: Documentation
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
How to install & configure Sparksee iOS (Objective-C)
Sparksee is the first graph database available for iOS devices applications, available since 5.1 in both an Objective-C and C++ interfaces. In this article we will guide through a typical installation & configuration for the Objective-C, so you can start working with Sparksee in your … Continue reading
Posted in Documentation, Sparksee, Sparksee mobile
Tagged ios, objective-C, sparksee mobile, tutorial
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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
How to install & configure Sparksee mobile for Android
Sparksee is the first graph database available for Android devices applications, available in two interfaces java and C++. In this article we will guide through a typical installation & configuration for the java interface, so you can start working with … Continue reading
Graph Database Use Case: SNA (Social Network Analysis)
In this second release of the series of the use cases, we are looking through one of the most interesting scenarios for graph databases: Social Network Analysis (SNA). DEX highest-performance with huge volumes of processed data, its flexibility and the … Continue reading
Posted in DEX, Documentation
Tagged dex, graph database, high-performance, scenario, sna, social network analysis, Sparsity, sparsity-technologies, use case
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How to use DEX algorithm package
The latest version of DEX includes the helpful algorithm package that give more high-level operations to the API. Here you can find the list of algorithms explained including examples of use for the Java and .NET APIs: Traversals algorithms To … Continue reading
Posted in DEX, Documentation
Tagged .net, API methods, bfs, connected components, connectivity, dex, dex 4.5, dfs, Dijkstra, documentation, examples, Gabow, graph algorithms, graph database, high-performance, java, shortest path, sparsity-technologies, traversal
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DEX 3.0 features: large char objects
This is the last feature we are posting on the blog for DEX 3.0. This time we are taking a look at the types allowed by graph databases for its objects. String type only allows a maximum length of 2048 … Continue reading
Posted in DEX, Documentation
Tagged dex, dex 3.0, dex v.3.0, graph database, object, object type, sparsity-technologies, string, text
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DEX 3.0 features: Indexed or not indexed attributes
Fourth episode of the series about DEX features. DEX is all about performance, with this feature we are focusing on improving query performance. In the DEX graph every node and edge can have as many attributes as needed. Those attributes … Continue reading
Posted in DEX, Documentation
Tagged dex, dex 3.0, features, graph database, indexed attributes, performance, query
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DEX 3.0 features: Neighbors materialized
One common challenge when traversing a graph is to obtain the neighbors for a certain node. In previous versions of DEX it required a two-step operation; first obtaining the edges for the node and then its neighbors. Objects neighbors = … Continue reading
Posted in DEX, Documentation
Tagged dex, dex 3.0, features, graph database, materialized, neighbors, sparsity-technologies, traversals
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DEX 3.0 features: Regular Expressions
In the second delivery of this series we are going to see how DEX extends the capability to query the graph database using regular expressions. As in every database you can also query the entities in your graph database with … Continue reading
Posted in DEX, Documentation
Tagged dex, dex 3.0, features, graph database, posix, query, regular expressions
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