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Network Analytics

Description: Test your knowledge on Network Analytics, a branch of data science that deals with the analysis of networks and their properties.
Number of Questions: 15
Created by:
Tags: network analytics data science graphs social networks
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What is the primary goal of network analytics?

  1. To identify patterns and relationships within a network.

  2. To optimize network performance.

  3. To detect and prevent network attacks.

  4. To design and implement new network architectures.

Show answer
Correct Option: A
Explanation:

Network analytics aims to uncover insights and patterns hidden within the structure and interactions of a network.

Which of the following is a common type of network used in network analytics?

  1. Social networks

  2. Transportation networks

  3. Biological networks

  4. All of the above

Show answer
Correct Option: D
Explanation:

Network analytics can be applied to various types of networks, including social networks, transportation networks, biological networks, and many more.

What is the term used to describe the measure of the importance of a node in a network?

  1. Degree centrality

  2. Closeness centrality

  3. Betweenness centrality

  4. Eigenvector centrality

Show answer
Correct Option: D
Explanation:

Eigenvector centrality measures the influence of a node based on the influence of its neighbors.

Which algorithm is commonly used for community detection in networks?

  1. Louvain method

  2. Girvan-Newman algorithm

  3. Label propagation algorithm

  4. Spectral clustering

Show answer
Correct Option: A
Explanation:

The Louvain method is a widely used algorithm for community detection, known for its efficiency and ability to identify communities of varying sizes.

What is the term used to describe the phenomenon where a small change in a network can lead to a significant change in its behavior?

  1. Butterfly effect

  2. Cascading failure

  3. Critical point

  4. Phase transition

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Correct Option: A
Explanation:

The butterfly effect refers to the idea that small changes in a complex system can have large and unpredictable consequences.

Which of the following is a common application of network analytics in the healthcare domain?

  1. Predicting disease outbreaks

  2. Identifying high-risk patients

  3. Optimizing patient care pathways

  4. All of the above

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Correct Option: D
Explanation:

Network analytics has various applications in healthcare, including predicting disease outbreaks, identifying high-risk patients, and optimizing patient care pathways.

What is the term used to describe the process of extracting meaningful information from network data?

  1. Network embedding

  2. Network summarization

  3. Network visualization

  4. Network mining

Show answer
Correct Option: D
Explanation:

Network mining refers to the process of extracting useful patterns and insights from network data.

Which of the following is a common challenge in network analytics?

  1. Data sparsity

  2. Scalability

  3. Noise and uncertainty

  4. All of the above

Show answer
Correct Option: D
Explanation:

Network analytics often faces challenges such as data sparsity, scalability issues, and the presence of noise and uncertainty in network data.

What is the term used to describe the measure of the efficiency of information flow in a network?

  1. Network diameter

  2. Average path length

  3. Clustering coefficient

  4. Modularity

Show answer
Correct Option: B
Explanation:

Average path length measures the average number of steps required to reach one node from another in a network.

Which of the following is a common application of network analytics in the financial domain?

  1. Fraud detection

  2. Risk assessment

  3. Portfolio optimization

  4. All of the above

Show answer
Correct Option: D
Explanation:

Network analytics has various applications in finance, including fraud detection, risk assessment, and portfolio optimization.

What is the term used to describe the process of identifying influential nodes in a network?

  1. Node ranking

  2. Centrality analysis

  3. Community detection

  4. Link prediction

Show answer
Correct Option: B
Explanation:

Centrality analysis aims to identify the most important nodes in a network based on various centrality measures.

Which of the following is a common application of network analytics in the transportation domain?

  1. Traffic congestion analysis

  2. Route optimization

  3. Public transportation planning

  4. All of the above

Show answer
Correct Option: D
Explanation:

Network analytics has various applications in transportation, including traffic congestion analysis, route optimization, and public transportation planning.

What is the term used to describe the process of predicting the probability of a link existing between two nodes in a network?

  1. Link prediction

  2. Community detection

  3. Centrality analysis

  4. Network embedding

Show answer
Correct Option: A
Explanation:

Link prediction aims to predict the likelihood of a connection between two nodes in a network.

Which of the following is a common application of network analytics in the social sciences?

  1. Social network analysis

  2. Opinion dynamics analysis

  3. Diffusion of innovation analysis

  4. All of the above

Show answer
Correct Option: D
Explanation:

Network analytics has various applications in the social sciences, including social network analysis, opinion dynamics analysis, and diffusion of innovation analysis.

What is the term used to describe the process of visualizing network data in a way that highlights patterns and relationships?

  1. Network visualization

  2. Network summarization

  3. Network embedding

  4. Link prediction

Show answer
Correct Option: A
Explanation:

Network visualization aims to represent network data in a visual format that facilitates the identification of patterns and insights.

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