The graph represents a network of 3,754 Twitter users whose recent tweets contained "#eccmid2019 OR #eccmid19 OR #eccmid", 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 Monday, 15 April 2019 at 17:57 UTC.
The tweets in the network were tweeted over the 9-day, 12-hour, 5-minute period from Saturday, 06 April 2019 at 05:37 UTC to Monday, 15 April 2019 at 17:43 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 : 3754
Unique Edges : 11051
Edges With Duplicates : 10559
Total Edges : 21610
Self-Loops : 2533
Reciprocated Vertex Pair Ratio : 0.0469846275128104
Reciprocated Edge Ratio : 0.089752277689933
Connected Components : 163
Single-Vertex Connected Components : 115
Maximum Vertices in a Connected Component : 3484
Maximum Edges in a Connected Component : 21231
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.659011
Graph Density : 0.000942666218650013
Modularity : 0.356898
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[461] infectious,diseases [276] critically,ill [265] ill,patients [257] stand,1 [250] pk,pd [243] 1,3 [231] booth,1 [209] #eccmid2019,escmid [195] clinical,microbiology [188] s,aureus Top Word Pairs in Tweet in G1:
[145] #eccmid2019,escmid [126] critically,ill [119] ill,patients [110] pk,pd [110] s,aureus [107] antibiotic,use [84] thomas,file [82] combination,therapy [78] mrsa,bacteremia [77] antibiotic,resistance Top Word Pairs in Tweet in G2:
[183] infectious,diseases [169] 1,3 [125] stand,1 [87] pk,pd [82] critically,ill [82] ill,patients [74] booth,1 [67] #eccmid2019,#antimicrobialstewardship [63] find,out [62] diseases,specialists Top Word Pairs in Tweet in G3:
[65] hand,hygiene [59] keep,toes [58] #eccmid2019,old [58] old,bugs [58] bugs,new [58] new,names [58] names,keep [47] #eccmid2019,1healthau [46] thelancetinfdis,paper [44] paper,published Top Word Pairs in Tweet in G4:
[86] infectious,diseases [40] #eccmid2019,#idtwitter [38] accepted,abstracts [37] pk,pd [37] top,country [37] country,accepted [35] c_garciavidal,belenpadi [35] belenpadi,miquelpr [35] miquelpr,carlotasway3 [35] abstracts,spain Top Word Pairs in Tweet in G5:
[72] stand,1 [63] clinical,microbiology [60] update,clinical [60] microbiology,2019 [60] 2019,changes [60] changes,bacterial [60] bacterial,taxonomy [60] taxonomy,#eccmid2019 [52] 1,112 [46] find,out Top Word Pairs in Tweet in G6:
[43] biofilms,vivo [38] two,important [38] important,messages [38] messages,tbjarnsholt [38] tbjarnsholt,#eccmid2019 [38] #eccmid2019,1 [38] 1,biofilms [38] vivo,very [38] very,different [38] different,lab Top Word Pairs in Tweet in G7:
[54] went,school [27] mugecevik,facebook [27] facebook,people [27] people,went [27] school,twitter [27] twitter,wish [27] wish,went [27] school,#eccmid2019 [25] invasive,aspergillosis [21] patients,#eccmid2019 Top Word Pairs in Tweet in G8:
[10] infectious,diseases [7] booth,1 [6] #eccmid2019,amsterdam [5] clinical,microbiology [5] microbiology,infectious [5] 13,16 [4] looking,forward [4] european,congress [4] congress,clinical [4] #eccmid2019,#amsterdam Top Word Pairs in Tweet in G9:
[17] #eccmid2019,thlorg [13] research,presented [13] presented,#eccmid2019 [12] e,g [10] long,acting [9] infectious,diseases [9] victor,nizet [8] 1,7d [8] summary,#hpv [8] #hpv,#vaccine Top Word Pairs in Tweet in G10:
[26] #eccmid2019,thomas [26] thomas,file [26] file,shorter [26] shorter,better [26] better,mantra [26] mantra,bradspellberg [7] 各種ガイドラインによる肺炎治療期間の推奨,#eccmid2019 [6] mrsa菌血症に対するダプトマイシン,セフタロリンの併用とバンコマイシン単剤の臨床研究は中止となった [6] セフタロリンの併用とバンコマイシン単剤の臨床研究は中止となった,併用群の死亡率が0 [6] 併用群の死亡率が0,なのに対しバンコマイシン群は26 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
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:
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Top Tweeters in G9:
Top Tweeters in G10: