Influence analysis, for example, is a classic graph-shaped problem; it’s also the core of the use cases that Kocoloski cited.

The field of network visualization and graph analysis has emerged as a crucial interdisciplinary area, merging advanced computational algorithms with sophisticated visual representation techniques ...

Graph theory is used in sociology as a way, for example, to measure actors’ prestige or to explore rumor spreading, notably through the use of social network analysis software.

Another example involves the auction of a racecar. It demonstrates the ability of graph analysis to provide the investigator with more information than requested, potentially unveiling an extensive ...

Sure, there are graph databases like Neo4j, but graph analysis or graph search may be more useful, depending on the sorts of data relationships you need to explore ...

We introduce the BioMedical Evidence Graph (BMEG), a graph database and query engine for discovery and analysis of cancer biology. The BMEG is unique from other biologic data graphs in that ...

Researchers uncovered new personality traits and developed a new personality hierarchy using novel data science methods in taxonomic graph analysis ...

Attack Graph Analysis empowers organizations to prioritize their security efforts by providing actionable insights into the most critical vulnerabilities and potential attack vectors.

The global graph analytics market in 2022 was valued at US$1.14 billion. The market value is anticipated to grow to US$6.90 billion by 2028. The market value is expected to grow at a CAGR of 34.80 ...