The graph represents a network of 744 Twitter users whose recent tweets contained "#icpic2019", 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, 14 September 2019 at 05:39 UTC.
The tweets in the network were tweeted over the 9-day, 17-hour, 0-minute period from Wednesday, 04 September 2019 at 12:30 UTC to Saturday, 14 September 2019 at 05:31 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 : 744
Unique Edges : 2173
Edges With Duplicates : 4036
Total Edges : 6209
Self-Loops : 551
Reciprocated Vertex Pair Ratio : 0.109873223203995
Reciprocated Edge Ratio : 0.197992384908273
Connected Components : 24
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 712
Maximum Edges in a Connected Component : 6164
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.829748
Graph Density : 0.00522619719532844
Modularity : 0.23526
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[108] icpic_meeting,#icpic2019 [108] infection,control [100] #yiic,#icpic2019 [95] hand,hygiene [94] #icpic2019,#patientsincluded [90] carbapenem,resistant [68] opening,ceremony [63] looking,forward [62] health,care [61] infection,prevention Top Word Pairs in Tweet in G1:
[54] icpic_meeting,#icpic2019 [52] carbapenem,resistant [41] hand,hygiene [35] #icpic2019,#patientsincluded [28] opening,ceremony [28] international,conference [27] health,care [27] conference,prevention [22] #geneva,#conference [22] infection,control Top Word Pairs in Tweet in G2:
[46] #selfiewithsemmelweis,#icpic2019 [46] infection,control [42] multimodal,strategy [37] #yiic,#icpic2019 [34] icpic_meeting,#icpic2019 [31] #icpic2019,#patientsincluded [29] infection,prevention [29] vanessa,carter [28] hand,hygiene [28] opening,ceremony Top Word Pairs in Tweet in G3:
[46] #yiic,#icpic2019 [19] poster,#icpic2019 [18] environmental,hygiene [17] outstanding,poster [17] #icpic2019,visually [17] visually,impact [17] impact,clear [17] clear,messages [17] messages,bravo [16] infection,control Top Word Pairs in Tweet in G4:
[18] #icpic2019,#patientsincluded [13] #patientsincluded,doctors20 [10] key,topic [9] surgeons,#nigeria [9] very,encouraging [9] encouraging,patient [9] patient,parternship [9] parternship,patient [9] patient,experience [9] experience,become Top Word Pairs in Tweet in G5:
[11] infection,control [8] p398,p400 [6] thoughts,infection [6] control,link [6] link,nurses [6] nurses,please [6] please,meet [6] meet,today [6] today,during [6] during,posterpresentations Top Word Pairs in Tweet in G6:
[21] booth,25 [18] touching,patient [14] more,information [13] #handhygiene,#icpic2019 [12] 25,#icpic2019 [11] visit,booth [9] come,visit [9] find,out [9] out,more [9] hand,hygiene Top Word Pairs in Tweet in G7:
[2] ultrasound,probes [2] #icpic2019,geneva [2] booth,21 Top Word Pairs in Tweet in G8:
[4] watch,tremendous [4] tremendous,#vpcat [4] #vpcat,scholar [4] scholar,vanessa_s91 [4] vanessa_s91,present [4] present,#icpic2019 [3] 13,09 [3] #icpic2019,candida [3] candida,auris [3] very,interesting Top Word Pairs in Tweet in G9:
[7] #icpic2019,going [7] going,battlefield [7] battlefield,against [7] against,#sepsis [7] #sepsis,learn [7] learn,more [7] more,worldwide [7] worldwide,initiative [7] initiative,#worldsepsisday [7] #worldsepsisday,spread Top Word Pairs in Tweet in G10:
[5] #icpic2019,delighted [5] delighted,patients [5] patients,public [5] public,centre [5] centre,stage [5] stage,opening [5] opening,event [5] event,hear [5] hear,more [5] more,shipgcu 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: