Count Connected Groups in a Relationship Matrix
Last updated: August 3, 2026
Quick Overview
The question asks the candidate to count the number of connected groups in a relationship matrix, where each group represents individuals that are directly or indirectly connected.
Visa
August 3, 20262
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43 solved
The question asks the candidate to count the number of connected groups in a relationship matrix, where each group represents individuals that are directly or indirectly connected.
This question is typically asked during the online assessment round for software engineering roles at Visa to evaluate a candidate's problem-solving and algorithmic skills. The interviewer is looking for the candidate's ability to analyze a matrix representation of relationships and implement an efficient algorithm to traverse it, demonstrating their understanding of graph theory concepts.
What the Interviewer Expects
- Clearly explain the approach to solving the problem.
- Identify the data structure used to represent the relationship matrix.
- Implement a depth-first search (DFS) or breadth-first search (BFS) to explore connected components.
- Discuss the time and space complexity of the solution.
- Provide a working code example that accurately counts connected groups.
Key Topics to Cover
How to Approach This
- Clarify input constraints and edge cases before writing code.
- Walk through your approach verbally and confirm with the interviewer before coding.
- Start with a brute force solution, then optimize. Mention time and space complexity.
- Test your solution with examples, including edge cases like empty input or duplicates.
- Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
- How would your approach change if the relationship matrix were very large?
- Can you optimize the algorithm further?
- What edge cases should we consider in this problem?
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Practice DSA ProblemsSample Answer
Approach
To count the number of connected groups in a relationship matrix, we can treat the matrix as an undirected graph where each person is a node and a relationship represents an edge. The goal is to trave...
Algorithm
We can use either Depth-First Search (DFS) or Breadth-First Search (BFS) to explore the graph. Here's a simple outline of the algorithm:
- Initialize a visited array to keep track of visited nodes. 2...