What is graph analytics and how is it used?
Graph analytics is the study of graphs to uncover patterns, relationships, and insights. It's used in social networks, fraud detection, and more.
Can you give me an example of how it's applied in social networks?
Sure! In social networks, graph analytics helps identify influential users, community structures, and the spread of information.
What tools are commonly used for graph analytics?
Popular tools include Neo4j, Apache Spark GraphX, and Gephi, which help visualize and analyze graph data.
Are there any challenges in graph analytics?
Yes, challenges include handling large datasets, ensuring data quality, and the complexity of graph algorithms.
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