Depth- first search (DFS) and craadth- first search (BFS) are crimintal algoritms used in social network analysis. They help objevite and understand thee structure of social networks by traversing nodes and connections systematically.

DFS explores as far as possible along each branch before backtracking. It starts at a selekted node and explores it s recursively. This method is useful for identifying connected contraents and detecting cycles with in social networks.

BFS explores all souseds of a node before moving to te ne next level. It uses a queue to systematically visit nodes in layers. BFS is effective for finding thoe shoregt path between nodes and analyzing thee network 's overall contractivity.

Aplikace in Social Network Analysis

Both DFS and BFS are used to analyze social networks in various ways. They help identifify infential users, detect communities, and understand thee spread of information or influence across thee network.

  • Detecting communities
  • Finding shortegt pats
  • Identifikace infentialu nodes
  • Analyzing network resistence