Table 1.
Structure assessment | Definition | Utility | References |
---|---|---|---|
Degree distribution | Distribution of probabilities of degrees in a specific network. | Comparisons, scale-free networks. Clear indicator of the presence of hubs when it is combined with the centrality measurement. Degree provides clues about modules in a network by determining the number of interactions shared between neighboring nodes. | Képès, 2007 |
Shortest path | The shortest path between two nodes in a biological network. | Connectivity. | Perumal et al., 2009 |
Average diameter | The minimum number of edges connecting any two nodes over all possible pairs. | Information flow, Small World. Capacity and time of the response of a system, so that in networks with a high centrality, signaling processes are favored. | Képès, 2007 |
Node clustering coefficient | The ratio of connections to neighboring nodes to the number of all possible connections. | Comparisons, scale-free, hierarchical. | Képès, 2007 |
Betweenness—centrality | The ratio of the number of k-shortest paths passing through a node and its nearest neighbor links. | Identifies hubs (highly connected nodes in a network), important in pathogenicity and potential target for drugs. Hubs may potentially disconnect the network if they are removed or blocked. | Goh et al., 2001; Perumal et al., 2009 |
Assortativity | The probability of connection of a node with others of the same degree. | Robustness to node deletion. | Newman, 2010 |
Summary of structural measurements of the topology of a network and their utility in a biological context.