The graph represents a network of 72 Twitter users whose recent tweets contained "#ECDCAntibioticSurvey OR ecdc.europa.eu/en/news-events/new-europe-wide-survey-healthcare-workers-perceptions-about-antibiotic-use-and", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 13 February 2019 at 15:48 UTC.
The tweets in the network were tweeted over the 9-day, 15-hour, 54-minute period from Sunday, 03 February 2019 at 22:21 UTC to Wednesday, 13 February 2019 at 14:15 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 72
Unique Edges : 100
Edges With Duplicates : 11
Total Edges : 111
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 9
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 36
Maximum Edges in a Connected Component : 74
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.869752
Graph Density : 0.0189749608763693
Modularity : 0.508481
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[77] healthcare,workers [56] workers,knowledge [47] antibiotic,use [46] use,resistance [37] knowledge,attitudes [31] survey,closes [31] 14,february [30] closes,14 [26] here,survey [26] february,2019 Top Word Pairs in Tweet in G1:
[23] ecdc,phe [23] phe,seeking [23] seeking,responses [23] responses,healthcare [23] healthcare,workers [23] workers,knowledge [23] knowledge,attitudes [23] attitudes,towards [23] towards,antibiotic [23] antibiotic,use Top Word Pairs in Tweet in G2:
[30] healthcare,workers [20] workers,knowledge [12] european,healthcare [12] knowledge,perceptions [12] perceptions,antibiotics [12] antibiotics,antibioticresistance [12] phe_uk,healthcare [10] gain,understanding [10] understanding,european [10] antibioticresistance,multilingual Top Word Pairs in Tweet in G3:
[15] healthcare,workers [9] workers,knowledge [8] enquête,l [7] knowledge,attitudes [7] attitudes,antibiotic [7] antibiotic,use [7] use,resistance [4] l,enquête [4] l,ecdc_eu [4] ecdc_eu,sur Top Word Pairs in Tweet in G4:
[3] let's,help [3] help,eaad_eu [3] eaad_eu,better [3] better,understand [3] understand,educate [3] educate,world [3] world,antibiotic [3] antibiotic,resistance [3] resistance,5 [3] 5,10 Top Word Pairs in Tweet in G5:
[2] europe,wide [2] wide,survey [2] healthcare,workers [2] antibiotic,use [2] use,resistance [2] complete,survey Top Word Pairs in Tweet in G6:
[3] ecdc,survey [3] survey,healthcare [3] healthcare,workers [3] workers,knowledge [3] knowledge,attitudes [3] attitudes,antibiotic [3] antibiotic,use [3] use,resistance [3] resistance,now [3] now,live Top Word Pairs in Tweet in G8:
[2] gt,2 [2] 2,700 [2] 700,responses [2] responses,already [2] already,ecdcantibioticsurvey [2] ecdcantibioticsurvey,huge [2] huge,thanks [2] thanks,everyone [2] everyone,shared [2] shared,please Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G7:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8: