***TEST - PLEASE IGNORE***
The graph represents a network of 10,585 Twitter users whose recent tweets contained #VaccinesWork, or who were replied to or mentioned in those tweets, taken from a series of datasets limited to a maximum of 18,000 tweets. The networks were obtained from Twitter leading up to Wednesday, 01 May 2019 at 20:59 UTC.
There were too many tweets and retweets to download at once.
This search therefore combined the following terms, excluding two massively retweeted UNICEF posts (search 1), reintroducing these tweets (searches 2 and 3), and then excluding and reintroducing the other most retweeted tweeters (searches 4 and 5 respectively):
1) #VaccinesWork @unicef since:2019-04-24 until:2019-04-25 -twitter.com/UNICEF/status/1120998316404297729 -twitter.com/UNICEF/status/1121038580900454401
2) #VaccinesWork @unicef since:2019-04-24 until:2019-04-25 https://twitter.com/UNICEF/status/1120998316404297729 -twitter.com/UNICEF/status/1121038580900454401
3) #VaccinesWork @unicef since:2019-04-24 until:2019-04-25 -twitter.com/UNICEF/status/1120998316404297729 https://twitter.com/UNICEF/status/1121038580900454401
4) #VaccinesWork since:2019-04-24 until:2019-04-25 -@UNICEF -@SergioRamos -@WHO -@UNICEF_FR -@yoyoyeo2 -@UN -@JustinTrudeau -@UNGeneva -@unicefchief -@BillGates -twitter.com/UNICEF/status/1120998316404297729 -twitter.com/UNICEF/status/1121038580900454401
5) #VaccinesWork since:2019-04-24 until:2019-04-25 (@SergioRamos OR @WHO OR @UNICEF_FR OR @yoyoyeo2 OR @UN OR @JustinTrudeau OR @UNGeneva OR @unicefchief OR @BillGates) -twitter.com/UNICEF/status/1120998316404297729 -twitter.com/UNICEF/status/1121038580900454401 -@UNICEF
The outputs were combined to produce the map shown.
The tweets in the network were tweeted over the 23-hour, 59-minute period from Wednesday, 24 April 2019 at 00:00 UTC to Wednesday, 24 April 2019 at 23:59 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 Fruchterman-Reingold layout algorithm.
Author Description
Vertices : 94
Unique Edges : 125
Edges With Duplicates : 12
Total Edges : 137
Self-Loops : 21
Reciprocated Vertex Pair Ratio : 0.036697247706422
Reciprocated Edge Ratio : 0.0707964601769911
Connected Components : 20
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 16
Maximum Edges in a Connected Component : 33
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 1.725275
Graph Density : 0.0129261038663921
Modularity : 0.78627
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[15] e,g [14] keynote,lecture [13] victor,nizet [13] nizet,gives [13] gives,keynote [13] lecture,1 [13] 1,reconsidering [13] reconsidering,resistance [13] resistance,testing [13] testing,vitro Top Word Pairs in Tweet in G1:
[13] victor,nizet [13] nizet,gives [13] gives,keynote [13] keynote,lecture [13] lecture,1 [13] 1,reconsidering [13] reconsidering,resistance [13] resistance,testing [13] testing,vitro [13] vitro,media Top Word Pairs in Tweet in G2:
[5] point,prevalence [3] prevalence,surveys [3] surveys,#pps [3] #pps,#antimicrobial [3] #antimicrobial,use [3] use,resistance [3] resistance,#urinarytractinfection [3] #urinarytractinfection,uti [3] uti,news [3] news,belgium Top Word Pairs in Tweet in G3:
[2] wonderful,open [2] open,access [2] access,educational [2] educational,resource [2] resource,many [2] many,#eccmid2019 [2] #eccmid2019,talks [2] talks,freely [2] freely,available [2] available,audio Top Word Pairs in Tweet in G4:
[6] editors,world [6] world,jac [6] jac,amr [6] amr,truly [6] truly,global [6] global,collaboration [6] collaboration,here's [6] here's,sylvia [6] sylvia,hinrichsen [6] hinrichsen,#brazil Top Word Pairs in Tweet in G5:
[7] dr,clancy [7] clancy,#eccmid2019 [7] #eccmid2019,3 [7] 3,clinical [7] clinical,trials [7] trials,t2candida [7] t2candida,t2bacteria [7] t2bacteria,demonstrated [7] demonstrated,exceptional [7] exceptional,remarkable Top Word Pairs in Tweet in G6:
[3] nudge,clinicians [3] clinicians,choose [3] choose,right [3] right,antibiotic [3] antibiotic,nimble [3] nimble,nudging [3] nudging,microbiology [3] microbiology,laboratory [3] laboratory,evaluation [3] evaluation,scoping Top Word Pairs in Tweet in G7:
[4] excited,speaking [4] speaking,pre [4] pre,#eccmid2019 [4] #eccmid2019,symposium [4] symposium,#science [4] #science,communication [4] communication,ll [4] ll,discussing [4] discussing,role [4] role,twitter Top Word Pairs in Tweet in G8:
[3] post,#eccmid2019 [3] #eccmid2019,selección [3] selección,personal [3] personal,sesiones [3] sesiones,comunicaciones [3] comunicaciones,recetas [3] recetas,aprovechar [3] aprovechar,máximo [3] máximo,congreso [2] another,reason Top Word Pairs in Tweet in G9:
[2] syctong,presents [2] presents,2 [2] 2,data [2] data,#eccmid2019 [2] #eccmid2019,three [2] three,year [2] year,trials [2] trials,conducted [2] conducted,27 [2] 27,sites Top Word Pairs in Tweet in G10:
[4] カンジダ血症の際に中心静脈カテーテルを抜去後2日以内に再挿入すると持続カンジダ血症が増加し死亡が増える,急いで再挿入すべきではない [4] 急いで再挿入すべきではない,#eccmid2019 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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:
Top Tweeters in G9:
Top Tweeters in G10: