NPTEL Social Networks Week 7 Assignment Answers 2025
1. In link analysis, what is the primary determinant of “who follows whom” in social networks?
- Homophily and shared attributes
- Random chance
- Network size
- Algorithmic recommendation systems only
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2. Which centrality measure is most useful in analyzing “who follows whom” in a directed social network?
- Closeness centrality
- Degree centrality
- Betweenness centrality
- Eigenvector centrality
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3. What is a key factor that drives following behavior in social networks?
- The popularity of the individual
- Influence of shared interests and connections
- Random recommendations from the platform
- Presence of bots in the network
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4. Which phenomenon can explain “following” behavior when individuals follow popular accounts with no direct personal connection?
- Local clustering
- Social contagion
- Reciprocity in the network
- Scale-free network dynamics
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5. In diffusion theory, what is the primary condition for a behavior or innovation to diffuse widely across a network?
- High density of connections
- Low threshold for adoption among individuals
- Equal in-degree and out-degree for all nodes
- Uniform distribution of resources in the network
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6. What typically happens to the speed of diffusion in networks with high modularity (dense communities)?
- Diffusion is faster due to strong local connections
- Diffusion slows down at the boundaries between communities
- Diffusion stops entirely in modular networks
- Diffusion speed is unaffected by network structure
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7. Which of the following models best captures the process of information diffusion in networks?
- Linear Threshold Model
- Preferential Attachment Model
- Random Walk Model
- Erdos-Renyi Model
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8. In the Independent Cascade Model, what determines whether a node adopts the behavior from a neighbor?
- The node’s centrality score
- A probabilistic influence factor from the neighbor
- The node’s degree in the network
- The presence of multiple incoming links
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9. How do Communities in networks affect information diffusion?
- Communities always enhance diffusion by increasing local connectivity
- Communities create barriers to diffusion across network clusters
- Communities force diffusion to occur only in densely connected regions
- Communities eliminate weak ties, reducing diffusion
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10. What is the primary condion for a cascade to overcome a cluster in a network?
- The fraction of adopters in the cluster exceeds the cluster’s threshold
- The cascade must originate from a high-degree node
- The cluster must have fewer nodes than the cascade’s initial spread
- Cascades do not depend on clusters in the network
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