Table 1.
Top Ten Influential authors.
| Author | Country affiliation | Link author | Betweenness centralitya | Closeness centralitya | Degree centralitya | No. of systematic reviews authored | Alcohol industry funding history |
|---|---|---|---|---|---|---|---|
| j. rehm (subnetwork 1) | Canada, Germany, Switzerland | No | 60.8 | 1 | 18 | 12 | None known |
| e. b. rimm (subnetwork 3) | USA, Canada | Yes | 51 | 0.777778 | 10 | 3 | International Life Sciences Institute (ILSI Europe Alcohol Task Force) |
| v. bagnardi (subnetwork 2) | Italy | Yes | 46.5 | 0.928571 | 12 | 3 | None known |
| k. j. mukamal (subnetwork 3) | USA | Yes | 40 | 0.7 | 8 | 3 | Anheuser-Busch InBev, Carlsberg Breweries A/S, Diageo plc, Heineken, Pernod Ricard USA LLC |
| m. roerecke (subnetwork 1) | Canada | No | 27.3 | 0.857143 | 15 | 10 | None known |
| a. britton (subnetwork 5) | England | Yes | 27 | 1 | 10 | 3 | None known |
| he jiang (subnetwork 8) | USA | Yes | 25 | 1 | 10 | 2 | None known |
| e. s. shin (subnetwork 7) | Korea | No | 12 | 1 | 11 | 2 | None known |
| j. g. jung (subnetwork 7) | Korea | No | 12 | 1 | 11 | 2 | None known |
| o. s. m. hasan (subnetwork 1) | Canada | No | 8.8 | 0.72 | 11 | 3 | None known |
a
Betweenness centrality measures the number of times an author acts as a bridge along the shortest path between two other authors, closeness centrality is based on the ‘closeness’ of authors to other authors, and degree centrality is based on the number of connections held by each author. The table is ranked according to betweenness centrality as this has the added advantage that a fully connected graph is not required whereas closeness centrality is measured within the relevant subnetwork.