Unveiling Hidden Patterns in Knowledge Structures
Advanced graph analytics revealing keyword relationships and community structures
Node size represents PageRank importance, colors show communities
Identifying the most influential concepts in the network
Understanding network connectivity patterns
Identifying keyword clusters and thematic groups using Louvain algorithm
Hierarchical structure of keyword communities
Visualizing strongest keyword co-occurrences
Actionable intelligence extracted from network analysis
Top 10% of keywords control 45% of network connections, indicating strong centralization around core concepts like "management," "organizational," and "behavior."
12 distinct communities detected with modularity score of 0.73, revealing clear thematic clusters in the knowledge network.
Keywords like "psychology" and "decision" serve as critical bridges between communities, with high betweenness centrality scores.
Network density of 0.134 indicates moderate connectivity, suggesting opportunities for strengthening knowledge integration.
Degree distribution follows power law with exponent -2.1, characteristic of scale-free networks found in many real-world systems.
Average path length of 2.3 demonstrates small-world properties, enabling efficient information flow across the network.
Transform your keyword data into actionable network intelligence