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SOCMINT Flashcards Study List

Q: What is the primary definition of Advanced Social Media Intelligence (SOCMINT)?
A: The combination of traditional investigative techniques with sophisticated analytical methodologies to extract actionable intelligence from social platforms.
Q: In Social Network Analysis (SNA), what is measured by 'Degree Centrality'?
A: The number of direct connections an account has, identifying popular actors.
Q: Which centrality measure identifies 'information brokers' who control the flow of data between different groups?
A: Betweenness Centrality.
Q: How does 'Eigenvector Centrality' determine the influence of a social media account?
A: It calculates influence based on the influence levels of the account's connections.
Q: Which measure is best for identifying actors who can reach others in a network with the least number of steps?
A: Closeness Centrality.
Q: The Girvan-Newman algorithm identifies cohesive subgroups through hierarchical clustering based on edge betweenness.
A: True.
Q: What is the primary objective of the Louvain Method in network analysis?
A: To find community structure by optimising modularity within the network.
Q: Which community detection method is known for being a fast algorithm suitable for large-scale networks?
A: Label Propagation.
Q: Spectral Clustering uses the eigenvalues of similarity matrices to group actors into communities.
A: True.
Q: Name an open-source platform commonly used for network analysis and visualisation.
A: Gephi.

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