A fraud investigator is working with a dataset of email communications, phone calls, and financial transactions. She needs a technique that will map and quantify how entities such as people, phone numbers, and bank accounts connect to one another so she can uncover hidden relationships and transaction pathways. Which analysis technique should she apply?
The correct choice identifies a method that explicitly examines how nodes are connected within a dataset to reveal otherwise hidden associations and pathways. The other options-exploratory analysis, performance analysis, and regression analysis-focus respectively on broad data exploration, tracking metrics against goals, or statistical modeling; none of these specifically map relationships among interconnected entities.
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What is link analysis used for?
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How is link analysis different from regression analysis?
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What are real-world applications of link analysis?