The graph represents a network of 1,618 Twitter users whose recent tweets contained "#eccmid OR #eccmid19 OR #eccmid2019", 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 Saturday, 13 April 2019 at 16:32 UTC.
The tweets in the network were tweeted over the 9-day, 18-hour, 2-minute period from Wednesday, 03 April 2019 at 22:24 UTC to Saturday, 13 April 2019 at 16:27 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 : 1618
Unique Edges : 4102
Edges With Duplicates : 3272
Total Edges : 7374
Self-Loops : 916
Reciprocated Vertex Pair Ratio : 0.0552242102937928
Reciprocated Edge Ratio : 0.104668201800293
Connected Components : 147
Single-Vertex Connected Components : 101
Maximum Vertices in a Connected Component : 1361
Maximum Edges in a Connected Component : 7043
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.708076
Graph Density : 0.00182585676140329
Modularity : 0.422498
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[138] critically,ill [138] #eccmid2019,escmid [135] stand,1 [133] pk,pd [132] ill,patients [132] learn,more [131] booth,1 [116] 1,3 [111] looking,forward [108] infectious,diseases Top Word Pairs in Tweet in G1:
[85] pk,pd [77] critically,ill [74] ill,patients [42] patients,#eccmid2019 [38] went,school [37] #eccmid2019,session [33] infectious,diseases [32] new,review [32] review,article [32] article,jesusrbano Top Word Pairs in Tweet in G2:
[88] #eccmid2019,escmid [58] #jac,amr [53] peer,reviewed [50] antimicrobial,resistance [49] online,journal [47] amr,#openaccess [47] #openaccess,online [47] journal,revolutionise [47] revolutionise,way [47] way,think Top Word Pairs in Tweet in G3:
[40] booth,1 [26] new,field [26] field,kits [26] kits,stored [26] stored,ambient [26] ambient,temperature [26] temperature,up [26] up,month [26] month,workflow [26] workflow,simple Top Word Pairs in Tweet in G4:
[32] hand,hygiene [29] #eccmid2019,1healthau [26] thelancetinfdis,paper [26] paper,published [26] published,reductions [26] reductions,cauti [26] cauti,94 [26] 94,asb [26] asb,74 [26] 74,associated Top Word Pairs in Tweet in G5:
[9] looking,forward [8] infectious,diseases [8] booth,1 [7] clinical,microbiology [7] microbiology,infectious [6] european,congress [6] congress,clinical [6] #eccmid2019,amsterdam [5] find,out [4] 29th,european Top Word Pairs in Tweet in G6:
[27] developing,microneedle [27] microneedle,based [27] based,sensors [27] sensors,continuous [27] continuous,monitoring [27] monitoring,β [27] β,lactam [27] lactam,abx [27] abx,vivo [27] vivo,#acsbiosensors Top Word Pairs in Tweet in G7:
[10] antimicrobial,stewardship [10] live,#eccmid2019 [9] infectious,diseases [8] new,data [7] launch,bit [7] bit,more [7] more,properly [7] properly,#eccmid2019 [7] #eccmid2019,now [7] now,please Top Word Pairs in Tweet in G8:
[64] register,now [53] antibiotic,stewardship [42] emergency,departments [37] antibiotic,use [36] critically,ill [36] ill,patients [35] learn,more [35] gt,gt [34] culture,media [32] antibiotic,resistance Top Word Pairs in Tweet in G9:
[15] new,cid [15] cid,syctong [15] syctong,ashabowen [15] ashabowen,guru_joshd [15] guru_joshd,infectious [15] infectious,diseases [15] diseases,microbiology [15] microbiology,clinicians [15] clinicians,australia [15] australia,new Top Word Pairs in Tweet in G10:
[85] 1,3 [54] stand,1 [20] outdoor,advertising [20] take,selfie [20] selfie,ooh [20] ooh,send [20] send,biomérieux [20] biomérieux,ll [20] ll,ooh [20] ooh,stars Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: