Table 2.
Description of total and regional networks
| Knowing each other | Having professional contact | ||||
|---|---|---|---|---|---|
| Total network | Total network | Area one | Area two | Area three | |
| Number of health professionals | 101 | 101 | 28 | 32 | 41 |
| Total number of connections (ties) | 1,431 | 664 | 113 | 91 | 158 |
| Reciprocity | 0.630 | 0.479 | 0.614 | 0.400 | 0.547 |
| Density | 0.142 | 0.066 | 0.139 | 0.092 | 0.146 |
| Clustering (weighted) | 0.360 | 0.268 | 0.344 | 0.253 | 0.395 |
| Transitivity (three legs in triads with two legs) | 16.7% | 13.3% | 16.9% | 12.4% | 20.9% |
| Indegree centralization of network | 25.1% | 16.6% | 22.6% | 10.5% | 26.5% |
| Outdegree centralization of network | 22.1% | 16.6% | 33.7% | 27.2% | 19.2% |
Reciprocity: Proportion of all connections that are reciprocated. The measure is used as an indicator of the reliability of the measurement of connections.
Density: Proportion of all possible connections that are actually present in a network of a given size.
Clustering: Average density in the local neighborhoods of individuals rather than in the total network. Here it is defined as the density in the networks of others connected to an individual (leaving out ego in the calculation of density). The average value is weighted for size of network.
Transitivity: Measure related to triads that may indicate balance or equilibrium. If A directs a tie to B and B directs a tie to C, then A is also expected to direct to C. Triads are crucial in some social science theories.
Centralization of network: Degree of variance of the total network of (in/out going) connections compared to a perfect star network of the same size (which indicates the theoretical maximum of centralization). Higher values mean more centralization, thus that positional advantages are unequally distributed.