S16-CiteSpace剪枝与网络分析参考

Choose based on your readability needs: Pathfinder Network Scaling removes weak edges using triangle inequality, MST keeps a minimal spanning skeleton, and Pruning Sliced Networks trims low-weight edges per time slice. Pathfinder is common for highlighting core structures.

Pathfinder removes edges violating the triangle inequality while preserving important indirect links, controlled by r and q parameters. MST retains only the minimum edge set connecting all nodes, producing a simpler tree-like skeleton network.

Betweenness centrality measures how often a node lies on shortest paths between other nodes, indicating its role as a bridge in the network. High-betweenness nodes in CiteSpace often mark pivotal papers connecting research areas.

Use time slicing when studying dynamic evolution of a research field, since it divides the network into periods and reveals how topics emerge and fade. Combine it with Pruning Sliced Networks to keep each slice readable.

Dense networks result from unpruned co-occurrence or co-citation data with many weak edges. Apply a pruning algorithm such as Pathfinder or MST and adjust edge weight thresholds to highlight the core structure.