Social Network Analysis - Question Bank

1. UNIT 1
QUESTION BANK
PART A
1. Define semantic Web.
2. What are called ontologies?
3. Give the limitations of current Web.
4. Give the significance of Blogs and wikis in social Web.
5. Define social networks.
6. Give the benefits of Online Social Networks.
7. Compare and contrast Web 2.0 and Semantic Web.
8. What is social network analysis?
9. How will you measure social networks?
10. What are the key perspectives in social network analysis and network development?
11. What is needed for data integration in Web?
12. What is a Social Web? Why do you call so?
13. List the Static Properties of social networks.
14. Define small-world phenomenon.
15. State Eigen Value Power Law.
16. Write notes on community structure.
17. How the dynamic properties of social networks are studied?
18. Define the term “gelling point”.
19. Give the applications of various statistical properties of social networks.
20. Write short notes on electronic discussion networks.
21. What is a Core-Periphery (C/P) structure?
22. Write notes on Personal networks.
23. Write about Web-based Networks.
24. List the dynamic properties of social networks.
25. Give the components of ontologies.
26. Give the role of ontologies on Web.
27. What is the significance of semantic web?
28. What do mean by ‘Web of data’?
29. List the categories of Social Web.
30. How will you represent social network as a graph? Give an example.
31. What do you mean by Heavy-tailed degree distribution?
32. State Triangle Power Law.
33. Write notes on static weighted graphs.
34. State Weight Power Law.
35. State Edge Weights Power Law.
36. Explain Snapshot Power laws.
37. Write notes on shrinking diameter.
38. State Densification Power Law.
39. Define the terms “Constant NLCC” and “Oscillating NLCC”.
40. What do mean by bursty weight additions?
41. What is the purpose of network analysis?

2. 42. What are affiliation networks?
43. Explain how clustering is performed in networks?
44. How will you measure the characteristic path length of a graph?
45. Define the term betweenness .How will you calculate the betweenness of an edge?
46. What is a two-mode network?
47. Give the different dimensions of social networks.
48. What are the various levels of analysis of social networks?
49. Explain the structural dimension of social capital.
50. Define the term: Degree Centrality.
51. Define the terms: Closeness Centrality, local Closeness Centrality.
52. Define the terms: betweenness Centrality.
53. What are structural holes? Where does it occur?
54. Explain the term overembeddedness.
55. Write notes on relational dimension of social network.
56. Give the benefits of weak ties.
57. Differentiate weak ties and strong ties.
58. Write notes on cognitive dimension.
59. Mention the advantages of cognitive embeddedness.
60. What are the features of web pages that are considered as the basis of extracting social
relations?
61. Give the drawbacks of linking structure of the Web.
62. Write about co-occurrences of names in Web pages.
63. Write notes on referral chaining.
64. How will you spot anomalies in social and computer networks?
65. What distributions and patterns do weighted graphs maintain?
66. What do social networks look like, on a large scale?
67. How do networks behave over time?
68. How do the non-giant weakly connected components behave over time?
69. What is an entropy plot?
70. What is effective diameter?
71. Define modularity.
72. Write about linkage-based and structural analysis.
73. Write about adding content-based analysis.
74. Write short notes on instant messaging networks.
75. What is the purpose of Google latitude?
76. Give the significance of social networks.
77. What is community detection?
78. Write about link prediction.
79. What is link inference problem?
80. Discuss the pros and cons of social networks.
81. Mention the important statistical characteristics of typical social networks.
82. Give the characteristics of Web data.
83. Define Web Community.
84. What are the basic metrics of social networks?
85. What is a clique?

3. 86. Define the terms: Degree and density.
87. Define centrality
88. What do you mean by ‘betweenness’ and ‘closeness’?
89. Define clustering coefficient.
90. Mention the advantages of semantic Web.
91. What is the need for Social Web?
92. Give the components of social networks.
93. Write notes on online social networks.
94. Write about The World Wide Web Consortium(W3C).
95. Define: social role or social group.
96. Give the methods of data collection in network analysis.
97. What is a sociogram?
98. Mention the importance of social network analysis.
99. Write about alpha- model of networks.
100.Write notes on beta model of networks.
PART B
1. What are the limitations of current Web? Explain the development of semantic Web and the
emergence of Social Web.
2. Briefly explain the development of Social Network Analysis.
3. Enumerate the static properties of social networks.
4. Explain the dynamic properties of social networks.
5. Illustrate the Global structure of networks with an example.
6. Discuss in detail about the macro-structure of social networks.
7. Enumerate the different dimensions of social capital and their related concepts and measures.
8. Briefly explain the following:
a) Electronic discussion networks
b) Blogs and online communities
c) Web-based Networks
d) Personal Networks
9. Explain the statistical properties of social network analysis.
10. Discuss the business applications of Social Network Analysis.