Save as PDF
Opens your browser print dialog — select "Save as PDF" to download.
Total No. of Questions : 8]
[Total No. of Printed Pages : 2
[2]
Roll No..................................
MTCD-302 (B)
M.E./M.Tech., III Semester
Examination, November 2023
Social Network Analysis
Time : Three Hours
Maximum Marks : 70
Note:
i) Attempt any five questions.
ii) All questions carry equal marks.
1. a)
Define the concept of a social network in the context of social media.
b)
Describe a real-life scenario where social network analysis is used to solve a problem or make informed decisions.
2. a)
Imagine you are a consultant for a government agency that wants to utilize social network analysis to improve its disaster response coordination. Explain the steps and methodologies you would use to map and analyze the agency's existing network of stakeholders and identify potential areas for improvement.
b)
Analyze the network metrics of a social media network and interpret the findings in the context of social interactions.
3. a)
Examine the data preparation and filtering steps required for cleaning and transforming a messy real-world network dataset in NodeXL.
b)
Evaluate the implications of selecting specific network metrics in the analysis of different types of networks, such as social, transportation, or citation networks.
4. a)
Describe the structure of message board and email list networks and how they foster discussions.
b)
Analyze the structure of hyperlink networks and their impact on search engine optimization and website usability.
5. a)
Develop a Twitter marketing campaign for a new product launch, including content creation and audience engagement strategies.
b)
Summarize the factors that contribute to the visibility and popularity of content on YouTube.
6. a)
Compare and contrast the patterns of content, interaction, and prominence in different genres of YouTube channels.
b)
Construct a plan for starting a new wiki project on a topic of your choice, outlining goals, structure and a collaborative editing strategy.
7. a)
Use a hypothetical dataset to create a social media network graph and apply community detection techniques to identify subgroups.
b)
Develop a framework for assessing the impact of photos and visual content in driving user engagement on a new social media platform.
8.
Write short notes on:
a)
Clustering and Grouping
b)
Modeling Collections of Connections
c)
All in One Network