SNA Questions

UNIT–I: Introduction: Social Media and Social Networks

Topics: Social media, new technologies of collaboration, social network analysis, measuring/mapping/modeling connections

Very important long questions

1. Define social media. Explain the major characteristics of social media as new technologies of collaboration.

2. Explain the concept of social networks with suitable examples.

3. Describe Social Network Analysis (SNA) and explain how it is used to measure, map, and model connections.

4. Discuss the evolution of social media and its role in collaboration and communication.

5. Explain the difference between social media and traditional media.

6. Describe the key components of a social network and explain their importance in SNA.

7. Explain the concepts of nodes, ties, and graphs in social network analysis.

8. Discuss the applications of social network analysis in real-world scenarios.

9. Explain the need for measuring relationships in a social network.

10. Describe the role of network maps in understanding social structures.

Short questions

1. Define social media.

2. What is a social network?

3. What is meant by collaboration in social media?

4. Define node.

5. Define edge/tie/link.

6. What is a graph in SNA?

7. What is meant by mapping a network?

8. What is social network analysis?

9. Mention any two applications of SNA.

10. What is the difference between directed and undirected networks?

11. What is a weighted network?

12. Define density of a network.

13. What is a dyad?

14. What is a triad?

15. What is meant by connectivity in a social network?

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UNIT–II: NodeXL, Layout, Visual Design, Labelling, Metrics, Filtering, Clustering

Topics: NodeXL, layout, visual design, labeling, metrics, data preparation, filtering, clustering and grouping

Very important long questions

1. Explain NodeXL and its features in social network analysis.

2. Describe the steps involved in creating a network in NodeXL.

3. Explain different layout algorithms used in NodeXL.

4. Discuss the importance of visual design and labelling in network visualization.

5. Explain how network metrics are calculated and visualized in NodeXL.

6. Describe the process of preparing data for social network analysis.

7. Explain filtering techniques used in NodeXL.

8. Discuss clustering and grouping in social network analysis.

9. Explain how NodeXL helps in identifying key actors in a network.

10. Write a detailed note on network visualization using NodeXL.

Short questions

1. What is NodeXL?

2. What is the use of NodeXL in SNA?

3. What is network layout?

4. Define visual design in network graphs.

5. What is node labeling?

6. What is edge labeling?

7. What are network metrics?

8. Define degree centrality.

9. What is betweenness centrality?

10. What is closeness centrality?

11. What is eigenvector centrality?

12. What is filtering in network analysis?

13. What is clustering?

14. What is grouping?

15. Why is data preparation important?

16. What is meant by graph visualization?

17. What is a group in a network?

18. What is the purpose of applying layout algorithms?

19. What is the significance of color coding in network graphs?

20. What is a component in a network?

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UNIT–III: Case Studies – Email, Thread Networks, Twitter

Topics: Email communication, thread networks, message boards, email lists, Twitter

Very important long questions

1. Explain email as the lifeblood of modern communication and analyze it as a social network.

2. Describe how email networks are mapped and interpreted in social network analysis.

3. Explain thread networks with respect to message boards and email lists.

4. Discuss the structure and behavior of thread networks.

5. Explain how Twitter can be analyzed as a social network.

6. Describe Twitter conversation networks and their importance in SNA.

7. Explain how Twitter is used for entertainment and information flow.

8. Compare email networks and Twitter networks.

9. Discuss the major insights obtained from analyzing thread networks.

10. Explain the role of social network analysis in studying online conversations.

Short questions

1. What is an email network?

2. What is a thread network?

3. Define message board.

4. What is an email list?

5. What is a Twitter network?

6. What is a retweet?

7. What is a mention in Twitter?

8. What is a hashtag?

9. What is a conversation network?

10. What is the significance of reply structure in threads?

11. What is a directed communication network?

12. What is an asynchronous communication network?

13. What is meant by information flow in Twitter?

14. What are the roles of hubs in email networks?

15. What is a conversation thread?

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UNIT–IV: Case Studies – Facebook Networks, WWW Hyperlink Networks

Topics: Visualizing Facebook networks, interpreting Facebook networks, hyperlink networks

Very important long questions

1. Explain how Facebook networks are visualized and interpreted using SNA.

2. Discuss the characteristics of Facebook networks.

3. Explain the social meaning of connections in Facebook networks.

4. Describe how friendship networks differ from other online networks.

5. Explain WWW hyperlink networks and their role in web analysis.

6. Discuss the structure of hyperlink networks on the World Wide Web.

7. Compare Facebook networks and WWW hyperlink networks.

8. Explain the importance of analyzing hyperlink patterns in the web.

9. Describe the applications of Facebook network analysis.

10. Write a note on visualizing and interpreting online social networks.

Short questions

1. What is a Facebook network?

2. What is a friendship network?

3. What is a hyperlink network?

4. What is the World Wide Web network?

5. What is a node in a Facebook network?

6. What is an edge in a hyperlink network?

7. What is the use of visualization in Facebook analysis?

8. What is meant by interpreting a network?

9. What is a web page network?

10. What is a bridge in a network?

11. What is a clustered Facebook network?

12. What is the difference between social links and hyperlink links?

13. What is the importance of network density in Facebook analysis?

14. What is a central node?

15. What is a component in hyperlink analysis?

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UNIT–V: Case Studies – YouTube, Wiki Networks

Topics: Content interaction, prominence, creativity, collaboration, wiki networks

Very important long questions

1. Explain YouTube as a social network platform and analyze its interaction patterns.

2. Discuss contrasting patterns of content interaction on YouTube.

3. Explain the concept of prominence in YouTube networks.

4. Describe how users interact with content on YouTube from an SNA perspective.

5. Explain wiki networks and their role in creativity and collaboration.

6. Discuss how wiki networks represent collaborative knowledge building.

7. Compare YouTube networks and wiki networks.

8. Explain the role of social network analysis in studying user-generated content platforms.

9. Describe the importance of analyzing content prominence in YouTube.

10. Write a detailed note on collaborative structures in wiki networks.

Short questions

1. What is a YouTube network?

2. What is content interaction?

3. What is prominence in a network?

4. What is a wiki network?

5. What is collaboration in wiki editing?

6. What is user-generated content?

7. What is a content creator?

8. What is a viewer network?

9. What is a revision in wiki?

10. What is a hyperlink in wiki pages?

11. What is meant by creativity in wiki networks?

12. What is a contribution network?

13. What is interaction pattern?

14. What is the importance of analysis of YouTube networks?

15. How is YouTube different from Twitter in SNA?

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Most expected 10-mark questions overall

1. Explain social media and its role in collaboration.

2. Describe social network analysis and its applications.

3. Explain NodeXL and its features.

4. Discuss network visualization, layout, and labeling.

5. Explain centrality measures in social network analysis.

6. Describe data preparation, filtering, clustering, and grouping in NodeXL.

7. Explain email networks as a case study in SNA.

8. Explain Twitter network analysis.

9. Explain Facebook network analysis.

10. Explain YouTube and wiki networks as case studies.

Most expected 2-mark questions overall

1. Define social media.

2. Define social network analysis.

3. What is NodeXL?

4. Define node and edge.

5. What is degree centrality?

6. What is betweenness centrality?

7. What is clustering?

8. What is a retweet?

9. What is a hyperlink network?

10. What is a wiki network?