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Triadic closure

Triadic closure is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Triadic closure rather than just read about it. In short: Triadic closure is a concept in social network theory, first suggested by German sociologist Georg Simmel in his 1908 book Soziologie (Sociology: Inquiries into the Construction of Social Forms). Triadic closure is the property among three nodes A, B, and C (representing people, for instance), that if the connections A-B and A-C exist, there is a tendency for the new connection B-C to be formed.

Triadic closure — main illustration
Triadic closure — illustration

Key takeaways

  • Triadic closure belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Triadic closure to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Triadic closure from memory before moving on to harder problems.

Reference excerpt

Triadic closure is a concept in social network theory, first suggested by German sociologist Georg Simmel in his 1908 book Soziologie (Sociology: Inquiries into the Construction of Social Forms). Triadic closure is the property among three nodes A, B, and C (representing people, for instance), that if the connections A-B and A-C exist, there is a tendency for the new connection B-C to be formed. Triadic closure can be used to understand and predict the growth of networks, although it is only one of many mechanisms by which new connections are formed in complex networks.

History Triadic closure was made popular by Mark Granovetter in his 1973 article The Strength of Weak Ties. There he synthesized the theory of cognitive balance first introduced by Fritz Heider in 1946 with a Simmelian understanding of social networks. In general terms, cognitive balance refers to the propensity of two individuals to want to feel the same way about an object. If the triad of three individuals is not closed, then the person connected to both of the individuals will want to close this triad in order to achieve closure in the relationship network.

Measurements

The two most common measures of triadic closure for a graph are (in no particular order) the clustering coefficient and transitivity for that graph.

Clustering coefficient One measure for the presence of triadic closure is clustering coefficient, as follows: Let G = ( V , E ) {\displaystyle G=(V,E)} be an undirected simple graph (i.e., a graph having no self-loops or multiple edges) with V the set of vertices and E the set of edges. Also, let N = | V | {\displaystyle N=|V|} and M = | E | {\displaystyle M=|E|} denote the number of vertices and edges in G, respectively, and let d i {\displaystyle d_{i}} be the degree of vertex i. We can define a triangle among the triple of vertices i {\displaystyle i} , j {\displaystyle j} , and k {\displaystyle k} to be a set with the following three edges: {(i,j), (j,k), (i,k)}. We can also define the number of triangles that vertex i {\displaystyle i} is involved in as δ ( i ) {\displaystyle \delta (i)} and, as each triangle is counted three times, we can express the number of triangles in G as δ ( G ) = 1 3 ∑ i ∈ V δ ( i ) {\displaystyle \delta (G)={\frac {1}{3}}\sum _{i\in V}\ \delta (i)} . Assuming that triadic closure holds, only two strong edges are required for a triple to form. Thus, the number of theoretical triples that should be present under the triadic closure hypothesis for a vertex i {\displaystyle i} is τ ( i ) = ( d i 2 ) {\displaystyle \tau (i)={\binom {d_{i}}{2}}} , assuming d i ≥ 2 {\displaystyle d_{i}\geq 2} . We can express τ ( G ) = 1 3 ∑ i ∈ V τ ( i ) {\displaystyle \tau (G)={\frac {1}{3}}\sum _{i\in V}\ \tau (i)} . Now, for a vertex i {\displaystyle i} with d i ≥ 2 {\displaystyle d_{i}\geq 2} , the clustering coefficient c ( i ) {\displaystyle c(i)} of vertex i {\displaystyle i} is the fraction of triples for vertex i {\displaystyle i} that are closed, and can be measured as δ ( i ) τ ( i ) {\displaystyle {\frac {\delta (i)}{\tau (i)}}} . Thus, the clustering coefficient C ( G ) {\displaystyle C(G)} of graph G {\displaystyle G} is given by C ( G ) = 1 N 2 ∑ i ∈ V , d i ≥ 2 c ( i ) {\displaystyle C(G)={\frac {1}{N_{2}}}\sum _{i\in V,d_{i}\geq 2}c(i)} , where N 2 {\displaystyle N_{2}} is the number of nodes with degree at least 2.

… excerpt ends here. Continue reading the full article.

Illustrations

Triadic closure illustration
Triadic closure: A diagram demonstrating the principle of triadic closure. If A is linked to B, and A is also linked to C, then there is a tendency for B to become linked to C.
A diagram demonstrating the principle of triadic closure. If A is linked to B, and A is also linked to C, then there is a tendency for B to become linked to C.

Worked examples

Example 1 — a first encounter with Triadic closure

Start with the simplest possible case. Write down what Triadic closure claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Triadic closure before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Triadic closure ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Triadic closure

In research
Triadic closure appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Triadic closure in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Triadic closure is common in secondary-school and first-year university syllabi. It links to neighbouring topics Social network analysis, Social systems, Sociological terminology, so understanding it makes those chapters shorter.
In everyday life
Look for Triadic closure outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Triadic closure in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Triadic closure means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Triadic closure out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Triadic closure in simple terms?

Triadic closure is a concept in social network theory, first suggested by German sociologist Georg Simmel in his 1908 book Soziologie (Sociology: Inquiries into the Construction of Social Forms). Triadic closure is the property among three nodes A, B, and C (representing people, for instance), that…

Why does Triadic closure matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Triadic closure?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Triadic closure.

Tags

  • Social network analysis
  • Social systems
  • Sociological terminology

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