Questions: Social Network Analysis: Structural Positions and Dynamics

Question 1

Employee A has 50 connections, all within a single tight-knit department. Employee B has only 15 connections, but they span three otherwise-unconnected departments. Whose structural position gives greater strategic and informational advantage, and why?

• A. A, because more connections always means more influence and access to resources
• B. A, because dense networks build the trust that is the foundation of all meaningful influence
• C. B, because bridging structural holes between disconnected clusters gives earlier access to diverse, non-redundant information
• D. B, because maintaining fewer connections is cognitively easier and leaves more bandwidth for strategic thinking

Answer: (C)

This is Burt's structural holes insight. A has high degree centrality within a closure network, which builds trust and social capital within that group — but A's 50 connections all feed them the same information (everyone in the department already knows what everyone else knows). B bridges structural holes between three groups that don't communicate with each other. Information only crosses those gaps through B, so B gets earlier access to diverse, non-redundant information from entirely different social worlds. Research consistently shows broker positions predict career advancement and innovation — not because brokers are personally superior, but because their structural position gives them an information advantage that dense-cluster membership cannot replicate.

Question 2

A journalist has relatively few direct contacts but sits on the shortest path between many pairs of people across different communities in a media network. Which centrality measure best captures this journalist's structural importance?

• A. Degree centrality, because their influence flows from the connections they have
• B. Eigenvector centrality, because their connections are presumably high-status individuals
• C. Betweenness centrality, because they lie on the shortest paths between many other pairs of nodes
• D. Clustering coefficient, because they sit within a densely connected community

Answer: (C)

Betweenness centrality measures how often a node lies on the shortest path between other pairs of nodes — it captures brokerage and gatekeeping power, independent of raw connection volume. A journalist who connects government sources to public audiences, or who sits between two professional communities, has high betweenness even with few direct contacts, because all information flowing between those communities must pass through them. Degree centrality would miss this; eigenvector centrality would capture prestige of connections, not brokerage. Choosing the right centrality measure requires first specifying what kind of importance is theoretically relevant.

Question 3

A node with many direct connections usually occupies the most strategically important position in a social network.

• T. True
• F. False

Answer: False

Degree centrality captures only one dimension of structural importance, and it can diverge dramatically from other measures. A highly connected node within a dense cluster may have high degree centrality but low betweenness — its connections are redundant because everyone already knows everyone. A node with few connections spanning disconnected clusters may have low degree centrality but high betweenness and a decisive informational advantage. Eigenvector centrality captures yet another dimension: being connected to influential nodes. No single measure is universally best — the appropriate measure depends on what aspect of importance (information flow, prestige, brokerage) is relevant to the specific research question.

Question 4

A person who bridges a structural hole between two otherwise-disconnected clusters has a strategic advantage over members of either cluster — not because of personal qualities, but because of their structural position.

• T. True
• F. False

Answer: True

This is Burt's core insight and distinguishes structural from individual explanations of advantage. Information flows freely within each cluster (high closure, high redundancy). Information only crosses the structural hole through the broker. The broker therefore receives diverse, non-redundant information earlier than anyone in either cluster and can strategically control what gets shared between them. Burt's empirical research shows this position predicts career advancement and innovative ideas across many organizational contexts — the advantage is structural, meaning it would transfer to any individual placed in that bridging position.

Question 5

Explain what a structural hole is and why occupying a broker position across one confers strategic advantage.

Model answer: A structural hole is a gap in the network — two dense clusters of people who are not directly connected to each other. A broker maintains connections to both clusters, spanning the gap. The advantage is informational: within each cluster, information circulates freely and everyone soon knows what everyone else knows (redundant information). Information only crosses the structural hole through the broker, who therefore receives diverse, non-redundant information from two different social worlds earlier than anyone else. The broker also controls what gets shared between clusters and when. Burt's research shows this position predicts career advancement and innovation — not because brokers are individually superior, but because their position gives them an information environment no amount of dense-cluster membership can replicate.

The contrast with closure — being densely embedded in a single cluster — is important. Closure builds trust and social capital within a group, which has its own value for coordination and enforcement. But it produces information redundancy: everyone eventually hears the same things. Brokerage produces information diversity at the cost of some trust. The relative value of each depends on what the person is trying to accomplish, which is why both structural positions appear in organizational research as predictors of different kinds of outcomes.