Social networks transformed the Internet into a complex web of relationships; social graph analysis offers a way to understand those relationships Social graph models are powerful enablers for ...
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Graph databases represent one of the fastest-growing areas in the database market. MarketsandMarkets’ report on graph databases predicts that graph databases will grow from $1.9 billion in 2021 to ...
Dr. Yu Xu discusses why graph analytics hasn’t been adopted as much as other analytics methods – and why that’s changing. Written by eWEEK content and product recommendations are editorially ...
In this special guest feature, Raja Mukerji of ExtraHop Networks talks about how IT Operations Analytics (ITOA) has started to emerge as a framework for a more horizontal approach to Big Data in IT.
The convergence of graph theory, social network analysis and multimedia data mining has emerged as a vibrant interdisciplinary field. Graph models provide a structured representation of interactions ...
It’s not easy making sense out of a lot of “noise” in data, which is why I think you see conflicting answers about how to “best” approach large datasets. It’s like two different approaches to fishing.
Google Cloud has updated its fully managed distributed SQL database service Spanner to add graph processing capabilities, dubbed Spanner Graph. The update is expected to help developers build ...
Grochow is among a growing chorus of researchers who point out that when it comes to finding connections in big data, graph theory has its limits. A graph represents every relationship as a dyad, or ...
Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...