Economists have another way of measuring the “centrality”…
““Economists have another way of measuring the “centrality” of a node in a network: rather than simply counting the number of connections, they take into account how many connections each of those connections has, and so on. If I have one hundred friends and you have only ten, I might appear better connected than you. But if your ten friends include people who are themselves very well connected—Barack Obama, Angela Merkel, Justin Bieber—you may be more influential than me after all. (Google’s page-ranking system works in a similar way: it measures not only how many sites link to a page, but how many sites link to those sites, and so on. Being linked to once by the New York Times counts for more than being linked to by a dozen unknown blogs.)””
About This Quote
This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation.
The quote explains that a node’s importance depends not just on the number of its connections but also on the influence of those connections, similar to PageRank.
In simple terms: Influence comes from who you’re linked to, not just how many links you have.
Key Takeaway
Value quality of connections over quantity.
Themes
network theory
influence
centrality
social graphs
ranking
Mood
analytical
thoughtful
Type
explanatory
insightful
When to use this quote
- marketing strategy
- social media growth
- academic research
- career networking
Key Concepts
PageRank
eigenvector centrality
network analysis
Questions to Reflect On
- How can you assess influence beyond link counts?
- What are the limits of using network metrics for real‑world impact?
A Different Perspective
It overlooks that influence can be context‑specific and not always measurable by links alone.