influential

influential implements network topology analysis and influential node detection in biological and other complex networks through integrated centrality measures and ranking algorithms.

Key Features:

• Integrated Value of Influence (IVI): Integrates the most important and commonly used network centrality measures in an unbiased way to identify the most influential nodes within networks.
• Experimental data-based Integrative Ranking (ExIR): Enables feature prioritization and candidate biomarker discovery using experimental data integration.
• SIRIR: Provides an additional algorithm for influential node identification in networks.
• Network centrality measures: Implements numerous network centrality measures for topology analysis and assessment of node importance.
• Network reconstruction: Provides functions for reconstructing biological and other complex networks.
• Centrality relationship analysis: Enables analysis of relationships between different centrality measures.
• Network visualization: Supports visualization of networks and centrality results.

Scientific Applications:

• Influential node detection: Identifies the most influential regulatory points within biological and other complex networks.
• Candidate biomarker discovery: Prioritizes features and identifies potential biomarkers through integrative network analysis.
• Network topology analysis: Decodes the functional significance of individual network components in healthy and diseased states.
• Feature prioritization: Ranks network nodes and features based on their integrative influence scores.

Methodology:

The IVI algorithm was developed through statistical assessment of 200 real-world and simulated networks to decipher associations between centrality measures, integrating the most important and commonly used network centrality measures in an unbiased way.