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HomeLeetCode ProblemsMinimize Malware Spread
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Master the Minimize Malware Spread LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Hard#924
LeetCode Problem

Minimize Malware Spread

You are given a network of n nodes represented as an n x n adjacency matrix graph, where the ith node is directly connected to the jth node if graph[i][j] == 1. Some nodes initial are initially infected by malware. Whenever two nodes are directly connected, and at least one of those two nodes is infected by malware, both nodes will be infected by malware. This spread of malware will continue until no more nodes can be infected in this manner. Suppose M(initial) is the final number of nodes infected with malware in the entire network after the spread of malware stops. We will remove exactly one node from initial. Return the node that, if removed, would minimize M(initial). If multiple nodes could be removed to minimize M(initial), return such a node with the smallest index. Note that if a node was removed from the initial list of infected nodes, it might still be infected later due to the malware spread.

ArrayHash TableDepth-First SearchBreadth-First SearchUnion FindGraph

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Problem Breakdown

Understanding the Minimize Malware Spread Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

You are given a network of n nodes represented as an n x n adjacency matrix graph, where the ith node is directly connected to the jth node if graph[i][j] == 1. Some nodes initial are initially infected by malware. Whenever two nodes are directly connected, and at least one of those two nodes is infected by malware, both nodes will be infected by malware. This spread of malware will continue until no more nodes can be infected in this manner. Suppose M(initial) is the final number of nodes infected with malware in the entire network after the spread of malware stops. We will remove exactly one node from initial. Return the node that, if removed, would minimize M(initial). If multiple nodes could be removed to minimize M(initial), return such a node with the smallest index. Note that if a node was removed from the initial list of infected nodes, it might still be infected later due to the malware spread.

HardProblem #924
LeetCode

Minimize Malware Spread

Related Topics

ArrayHash TableDepth-First SearchBreadth-First SearchUnion FindGraph

How PhantomCodeAI Helps

Get real-time assistance for Minimize Malware Spread problems during coding interviews. PhantomCodeAI provides instant solutions and explanations.

Examples

# Example 1

Input
graph = [[1,1,0],[1,1,0],[0,0,1]], initial = [0,1]
Output
0

# Example 2

Input
graph = [[1,0,0],[0,1,0],[0,0,1]], initial = [0,2]
Output
0

# Example 3

Input
graph = [[1,1,1],[1,1,1],[1,1,1]], initial = [1,2]
Output
1

Constraints

n == graph.length
n == graph[i].length
2 <= n <= 300
graph[i][j] is 0 or 1.
graph[i][j] == graph[j][i]
graph[i][i] == 1
1 <= initial.length <= n
0 <= initial[i] <= n - 1
All the integers in initial are unique.

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Solve Minimize Malware Spread — You are given a network of n nodes represented as an n x n adjacency matrix grap...

Here's the optimal approach using Array:

def solve(input):
# Optimal O(n) solution
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Time: O(n)  |  Space: O(n)

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We work with Zoom, HackerRank, CodeSignal, CoderPad and other web-based platforms. Check the compatibility note and request a browser link if a specific desktop app is unsupported.

Frequently Asked Questions

Common questions about solving Minimize Malware Spread and using PhantomCodeAI during coding interviews.

How does PhantomCodeAI help with LeetCode problems during a coding interview?
PhantomCodeAI reads the problem from a screenshot or listens to it via audio, then generates a complete solution with a step-by-step approach and time/space complexity, so you can focus on explaining your reasoning rather than getting stuck on implementation.
Which programming languages does PhantomCodeAI support?
11 languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set a preferred language to get idiomatic solutions.
Does PhantomCodeAI work with HackerRank, CodeSignal, and CoderPad?
Yes — it works alongside LeetCode, HackerRank, CodeSignal, CoderPad, and HackerEarth, plus any browser-based coding environment.
Can PhantomCodeAI handle follow-up questions and modifications?
Yes. Capture the modified problem by screenshot or audio and get an updated solution within seconds, including new edge cases and optimizations.
Is PhantomCodeAI detectable during live interviews?
PhantomCodeAI runs as a native desktop overlay that does not appear in screen shares, recordings, or proctoring software, and works with Zoom, Google Meet, Microsoft Teams, and major coding platforms.
Should I still practice these problems on my own first?
Yes. The most durable preparation is solving problems unaided first, then using AI afterward to review your approach, complexity, and missed edge cases — use it to debrief and learn, not to skip the reps.

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