A telecom company wants to identify customers who act as bridges between different social groups in their call detail record network. They suspect these customers are key to spreading churn behavior. Which SNA technique should they apply to the network?

Calculate degree centrality for each customer

Perform a link prediction analysis

Compute betweenness centrality for each customer

Run a community detection algorithm

A data science team is analyzing a network of 100,000 nodes and 1 million edges to identify communities and key influencers. They need to produce a report with visualizations for management. They have a budget for cloud computing but want to minimize costs. They are proficient in Python. Which approach is the most cost-effective?

Use a cloud-based graph database like Neo4j for analysis and visualization

Use Gephi on a local desktop for both analysis and visualization

Use NetworkX on a single cloud VM for analysis and Matplotlib for visualization

Use Spark GraphX on a multi-node cluster for analysis and Gephi for visualization

Dell Data Science Optimize

Domain 4Objective 3

Network Problems and SNA Tools DATA-SCIENCE-OPTIMIZE Practice Questions (Page 3)

Part of the Social Network Analysis (SNA) domain, which accounts for 23% of the DATA-SCIENCE-OPTIMIZE exam.

16questions here

4free pages

3concepts

23%of the exam

Questions 11–15

11application · medium
A telecom company wants to identify customers who act as bridges between different social groups in their call detail record network. They suspect these customers are key to spreading churn behavior. Which SNA technique should they apply to the network?
Select an answer first
12application · medium
A marketing team wants to identify the most influential users in a Twitter network to target for a product launch. They have a directed graph of follower relationships and need a metric that accounts for both the number of connections and the importance of those connections. Which centrality measure should they use?
Select an answer first
13foundation · easy
Which tool is best suited for interactive visualization and exploration of a small- to medium-sized social network, allowing users to manually adjust layouts and inspect node attributes?
Select an answer first
14expert · hard
A data science team is analyzing a network of 100,000 nodes and 1 million edges to identify communities and key influencers. They need to produce a report with visualizations for management. They have a budget for cloud computing but want to minimize costs. They are proficient in Python. Which approach is the most cost-effective?
Select an answer first
15application · medium
A political campaign wants to identify the most influential voters in a social network to target for get-out-the-vote efforts. They have a network of voters and their interactions, and they want to use a metric that captures both direct and indirect influence. Which SNA technique should they use?
Select an answer first

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Network Problems and SNA Tools DATA-SCIENCE-OPTIMIZE Practice Questions (Page 3)

Questions 11–15

A telecom company wants to identify customers who act as bridges between different social groups in their call detail record network. They suspect these customers are key to spreading churn behavior. Which SNA technique should they apply to the network?

Which tool is best suited for interactive visualization and exploration of a small- to medium-sized social network, allowing users to manually adjust layouts and inspect node attributes?

A political campaign wants to identify the most influential voters in a social network to target for get-out-the-vote efforts. They have a network of voters and their interactions, and they want to use a metric that captures both direct and indirect influence. Which SNA technique should they use?

Keep studying — Social Network Analysis (SNA)