BI Finals

What does SNA stand for in the context of social network analysis?

• Structured Network Assessment

• Social Network Algorithm

• Social Network Analysis

• System Network Analysis

What do nodes represent in a network according to SNA?

• Entities

• Interactions

• Clusters

• Edges

Which centrality measure identifies influential nodes based on the number of direct connections?

• Eigenvector Centrality

• Closeness Centrality

• Degree Centrality

• Betweenness Centrality

What does network density indicate about a network?

• Connectivity level

• Number of edges

• Number of nodes

• Tightness of connections

What does the clustering coefficient measure in a network?

• Edge density

• Node clustering tendency

• Network efficiency

• Node centrality

What is the process of identifying groups of nodes within a network that are more connected to each other than to the rest of the network?

• Community Detection

• Network Segmentation

• Group Identification

• Cluster Analysis

Which method for community detection uses the eigenvalues and eigenvectors of matrices derived from the network?

• Label Propagation Algorithm

• Girvan-Newman Algorithm

• Spectral Clustering

• Modularity Optimization

What is the Louvain Method used for in community detection?

• Optimizing modularity

• Identifying outliers

• Calculating centrality

• Measuring network density

Which tool is known for network visualization and analysis, featuring interactive visualization and community detection plugins?

• Gephi

• Cytoscape

• NetworkX

• Pajek

What is a best practice in SNA and community detection related to data preprocessing?

• Adding noise to data

• Inconsistent data handling

• Ensuring data quality

• Ignoring irrelevant information