Figure 1
Map depicting the cities of Transylvania, Wallachia and Moldova, the roads connecting them, the sources, and sinks.
Table 1
Cities and their ID.
| CITY | ID | CITY | ID |
|---|---|---|---|
| Buda | 1 | Sighișoara | 29 |
| Pest | 2 | Făgăraș | 30 |
| Szolnok | 3 | Câmpulung | 31 |
| Szeged | 4 | Curtea de Argeș | 32 |
| Belgrade | 5 | Pitești | 33 |
| Kosice | 6 | Roșiorii de Vede | 34 |
| Debrecen | 7 | Nikopol | 35 |
| Arad | 8 | Brașov | 36 |
| Timișoara | 9 | Câmpina | 37 |
| Lugoj | 10 | Târgoviște | 38 |
| Caransebeș | 11 | Giurgiu | 39 |
| Oradea | 12 | Ruse | 40 |
| Hunedoara | 13 | Ploiești | 41 |
| Orăștie | 14 | București | 42 |
| Târgu-Jiu | 15 | Gherghița | 43 |
| Vidin | 16 | Suceava | 44 |
| Calafat | 17 | Baia | 45 |
| Dej | 18 | Roman | 46 |
| Cluj-Napoca | 19 | Bacău | 47 |
| Alba-Iulia | 20 | Buzau | 48 |
| Sebeș | 21 | Brăila | 49 |
| Craiova | 22 | Tulcea | 50 |
| Bistrița | 23 | Chilia | 51 |
| Mediaș | 24 | Turnu Măgurele | 52 |
| Sibiu | 25 | Lviv | 53 |
| Râmnicu Vâlcea | 26 | Cracow | 54 |
| Slatina | 27 | General Source | 55 |
| Târgu-Mureș | 28 |
Figure 2
Edges with highest Edge Betweenness. Dark green lines represent edges above the median plus one standard deviation threshold, light green lines represent edges with scores in the upper 75 percentile.
Table 2
Nodes scoring above the threshold of the median plus one standard deviation in a minimum of two metrics and their respective brokerage roles.
| NODE | MEASURES | ROLE |
|---|---|---|
| 2 | In-Degree, In-Closeness | Coordinator, Gatekeeper |
| 12 | In-Degree, In-Closeness, Betweenness | Coordinator, Representative |
| 19 | In-Degree, In-Closeness, Betweenness, E/I–, Closeness | Coordinator |
| 45 | In-Degree, In-Closeness, Constraint | Coordinator, Gatekeeper |
| 47 | In-Degree, In-Closeness, E/I+, Closeness | Gatekeeper |
| 3 | In-Closeness, E/I+ | Gatekeeper |
| 6 | In-Closeness, E/I+ | Liaison |
| 7 | In-Closeness, E/I+, Out-Degree | Representative |
| 14 | Out-Degree, E/I– | |
| 41 | Out-Degree, E/I– | Coordinator |
| 34 | Out-Closeness, E/I– | Coordinator |
| 39 | Out-Degree, Out-Closeness | Gatekeeper |
| 22 | Out-Degree, Out-Closeness, E/I– | Coordinator |
| 42 | Out-Degree, Out-Closeness, E/I– | Coordinator |
| 8 | In-Degree, E/I+ | Coordinator, Gatekeeper, Representative |
| 27 | In-Degree, E/I– | Coordinator |
| 33 | In-Degree, E/I–, Constraint | Coordinator |
| 26 | In-Degree, Closeness | Representative |
| 48 | In-Degree, Closeness | Liaison, Representative |
| 24 | Betweenness, E/I–, Closeness | Coordinator |
| 29 | Betweenness, E/I– | Coordinator |
| 25 | In-Degree, Betweenness, Closeness | Coordinator, Gatekeeper |
| 36 | In-Degree, Betweenness, Out-Degree, Constraint, E/I+, Closeness | Gatekeeper, Liaison |
| START CITY ID | END CITY ID |
|---|---|
| 2 | 1 |
| 3 | 2 |
| 4 | 2 |
| 5 | 1 |
| 5 | 9 |
| 6 | 2 |
| 6 | 54 |
| 7 | 2 |
| 7 | 3 |
| 7 | 6 |
| 8 | 4 |
| 8 | 12 |
| 9 | 8 |
| 10 | 8 |
| 10 | 9 |
| 11 | 10 |
| 12 | 3 |
| 12 | 7 |
| 13 | 8 |
| 13 | 10 |
| 13 | 11 |
| 14 | 13 |
| 14 | 20 |
| 14 | 21 |
| 15 | 13 |
| 16 | 17 |
| 17 | 11 |
| 17 | 22 |
| 18 | 12 |
| 18 | 23 |
| 19 | 12 |
| 19 | 18 |
| 20 | 19 |
| 21 | 20 |
| 22 | 15 |
| 22 | 26 |
| 22 | 27 |
| 23 | 45 |
| 24 | 19 |
| 24 | 28 |
| 25 | 21 |
| 25 | 24 |
| 26 | 25 |
| 26 | 30 |
| 27 | 26 |
| 27 | 33 |
| 28 | 19 |
| 28 | 47 |
| 29 | 24 |
| 30 | 25 |
| 30 | 29 |
| 31 | 36 |
| 32 | 25 |
| 32 | 26 |
| 33 | 31 |
| 33 | 32 |
| 34 | 27 |
| 34 | 42 |
| 36 | 29 |
| 36 | 30 |
| 36 | 45 |
| 36 | 47 |
| 37 | 36 |
| 38 | 31 |
| 38 | 36 |
| 39 | 33 |
| 39 | 34 |
| 39 | 42 |
| 40 | 39 |
| 41 | 37 |
| 41 | 38 |
| 42 | 33 |
| 42 | 38 |
| 42 | 41 |
| 42 | 43 |
| 42 | 48 |
| 43 | 41 |
| 43 | 48 |
| 44 | 53 |
| 45 | 44 |
| 46 | 45 |
| 47 | 46 |
| 48 | 36 |
| 48 | 47 |
| 49 | 48 |
| 50 | 46 |
| 50 | 49 |
| 51 | 50 |
| 52 | 22 |
| 52 | 27 |
| 52 | 34 |
| 52 | 35 |
| 55 | 5 |
| 55 | 16 |
| 55 | 35 |
| 55 | 40 |
| 55 | 49 |
| 55 | 50 |
| 55 | 51 |