The graph represents a network of 4,679 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 Wednesday, 17 April 2019 at 09:20 UTC.
The tweets in the network were tweeted over the 13 day period from Wednesday, 03 April 2019 at 22:24 UTC to Wednesday, 17 April 2019 at 08:59 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 Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 4679
Unique Edges : 12823
Edges With Duplicates : 22494
Total Edges : 35317
Self-Loops : 3862
Reciprocated Vertex Pair Ratio : 0.0548873058507532
Reciprocated Edge Ratio : 0.104062880549098
Connected Components : 175
Single-Vertex Connected Components : 126
Maximum Vertices in a Connected Component : 4403
Maximum Edges in a Connected Component : 34865
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.614969
Graph Density : 0.000825370121345764
Modularity : 0.294814
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[632] infectious,diseases [377] pk,pd [354] 1,3 [335] stand,1 [314] critically,ill [304] ill,patients [303] clinical,microbiology [278] s,aureus [267] booth,1 [266] #eccmid2019,escmid Top Word Pairs in Tweet in G1:
[214] pk,pd [209] infectious,diseases [138] s,aureus [135] critically,ill [130] ill,patients [113] acquired,pneumonia [109] #eccmid2019,#idtwitter [107] community,acquired [105] p,t [104] thomas,file Top Word Pairs in Tweet in G2:
[184] stand,1 [176] 1,3 [151] infectious,diseases [91] booth,1 [88] pk,pd [86] find,out [70] #eccmid2019,stand [70] #eccmid2019,escmid [70] critically,ill [70] ill,patients Top Word Pairs in Tweet in G3:
[101] antibiotic,use [95] #eccmid2019,escmid [85] hand,hygiene [80] antibiotic,stewardship [78] antibiotic,resistance [76] register,now [73] s,aureus [72] critically,ill [71] thelancetinfdis,paper [71] ill,patients Top Word Pairs in Tweet in G4:
[80] 1,3 [78] brief,guide [78] guide,scientific [78] scientific,writing [78] writing,missed [78] missed,talk [78] talk,#eccmid19 [78] #eccmid19,tips [78] tips,write [78] write,review Top Word Pairs in Tweet in G5:
[92] clinical,microbiology [84] update,clinical [84] microbiology,2019 [84] 2019,changes [84] changes,bacterial [84] bacterial,taxonomy [84] taxonomy,#eccmid2019 [65] stand,1 [65] 1,133 [49] learn,more Top Word Pairs in Tweet in G6:
[75] #eccmid2019,old [75] old,bugs [75] bugs,new [75] new,names [75] names,keep [75] keep,toes [43] clinical,microbiology [40] infectious,diseases [38] علمي,لبحثنا [38] لبحثنا,في Top Word Pairs in Tweet in G7:
[46] went,school [27] year,#infectiousdiseases [27] #infectiousdiseases,#eccmid2019 [23] mugecevik,facebook [23] facebook,people [23] people,went [23] school,twitter [23] twitter,wish [23] wish,went [23] school,#eccmid2019 Top Word Pairs in Tweet in G8:
[10] infectious,diseases [6] clinical,microbiology [6] microbiology,infectious [6] booth,1 [6] #eccmid2019,amsterdam [5] european,congress [5] congress,clinical [5] looking,forward [5] 13,16 [5] #eccmid2019,#amsterdam Top Word Pairs in Tweet in G9:
[32] sequencing,anywhere [28] new,field [28] field,kits [28] kits,stored [28] stored,ambient [28] ambient,temperature [28] temperature,up [28] up,month [28] month,workflow [28] workflow,simple Top Word Pairs in Tweet in G10:
[38] #eccmid2019,7 [38] 7,45 [38] 45,póster [38] póster,#raise [38] #raise,spain [38] spain,está [38] está,expuesto [38] expuesto,gripe [38] gripe,b [38] b,hospitaliza 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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