The graph represents a network of 5,008 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 in blocks, adding them together, with the final block extracted from Twitter on Tuesday, 23 April 2019 at 22:29 UTC.
The tweets in the network were tweeted over the 20 day period from Wednesday, 03 April 2019 at 22:24 UTC to Tuesday, 23 April 2019 at 22:07 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 : 5008
Unique Edges : 13354
Edges With Duplicates : 24987
Total Edges : 38341
Self-Loops : 4221
Reciprocated Vertex Pair Ratio : 0.0539430449069003
Reciprocated Edge Ratio : 0.102364250454664
Connected Components : 182
Single-Vertex Connected Components : 127
Maximum Vertices in a Connected Component : 4706
Maximum Edges in a Connected Component : 37833
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.629751
Graph Density : 0.000767495793429135
Modularity : 0.300192
NodeXL Version : 1.0.1.411
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[658] infectious,diseases [385] pk,pd [373] 1,3 [338] stand,1 [327] clinical,microbiology [319] critically,ill [309] ill,patients [294] s,aureus [286] #eccmid2019,escmid [271] booth,1 Top Word Pairs in Tweet in G1:
[283] pk,pd [245] infectious,diseases [210] critically,ill [201] ill,patients [182] s,aureus [158] acquired,pneumonia [145] community,acquired [133] patients,#eccmid2019 [127] year,#infectiousdiseases [126] #infectiousdiseases,#eccmid2019 Top Word Pairs in Tweet in G2:
[198] #eccmid2019,escmid [139] infectious,diseases [116] stand,1 [89] looking,forward [87] s,aureus [84] escmid,#eccmid2019 [81] thelancetinfdis,paper [77] hand,hygiene [75] booth,1 [73] #eccmid2019,1healthau Top Word Pairs in Tweet in G3:
[102] infectious,diseases [66] oh,dear [66] dear,bless [66] bless,microbiology [66] microbiology,colleagues [66] colleagues,reclassification [66] reclassification,taxonomy [66] taxonomy,much [66] much,infectious [66] diseases,specialists Top Word Pairs in Tweet in G4:
[104] 1,3 [88] brief,guide [88] guide,scientific [88] scientific,writing [88] writing,missed [88] missed,talk [88] talk,#eccmid19 [88] #eccmid19,tips [88] tips,write [88] write,review Top Word Pairs in Tweet in G5:
[174] 1,3 [128] stand,1 [78] #eccmid2019,old [78] old,bugs [78] bugs,new [78] new,names [78] names,keep [78] keep,toes [58] find,out [50] #eccmid2019,stand Top Word Pairs in Tweet in G6:
[101] clinical,microbiology [92] update,clinical [92] microbiology,2019 [92] 2019,changes [92] changes,bacterial [92] bacterial,taxonomy [92] taxonomy,#eccmid2019 [53] stand,1 [53] 1,133 [34] #eccmid2019,#antimicrobialstewardship Top Word Pairs in Tweet in G7:
[41] #eccmid2019,7 [41] 7,45 [41] 45,póster [41] póster,#raise [41] #raise,spain [41] spain,está [41] está,expuesto [41] expuesto,gripe [41] gripe,b [41] b,hospitaliza Top Word Pairs in Tweet in G8:
[10] infectious,diseases [6] clinical,microbiology [6] microbiology,infectious [6] 13,16 [6] booth,1 [6] #eccmid2019,amsterdam [5] european,congress [5] congress,clinical [5] #eccmid,2019 [4] #eccmid2019,#amsterdam Top Word Pairs in Tweet in G9:
[43] علمي,لبحثنا [43] لبحثنا,في [43] #eccmid2019,في [43] في,امستردام [43] امستردام,european [43] european,congress [43] congress,clinical [43] clinical,microbiology [43] microbiology,infectious [43] infectious,diseases Top Word Pairs in Tweet in G10:
[45] #eccmid2019,#réjifreport [16] 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 [16] 急いで再挿入すべきではない,#eccmid2019 [12] バンコマイシンとβラクタムの併用群は単剤群と比べてakiが3倍,いいことなくて悪いだけ [12] いいことなくて悪いだけ,#eccmid2019 [9] clostridium,difficile [9] difficile,enterobacter [9] enterobacter,aerogenes [9] aerogenes,propionibacterium [9] propionibacterium,acnes Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: