The graph represents a network of 567 Twitter users whose recent tweets contained "#ICURecovery19", 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, 11 November 2019 at 07:43 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 56-minute period from Saturday, 02 November 2019 at 12:34 UTC to Monday, 11 November 2019 at 07:30 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 : 567
Unique Edges : 1856
Edges With Duplicates : 4149
Total Edges : 6005
Self-Loops : 341
Reciprocated Vertex Pair Ratio : 0.105490704712495
Reciprocated Edge Ratio : 0.190848650762612
Connected Components : 4
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 564
Maximum Edges in a Connected Component : 6002
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.668886
Graph Density : 0.00796766815612516
Modularity : 0.183701
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 567 Twitter users whose recent tweets contained "#ICURecovery19", 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, 11 November 2019 at 07:43 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 56-minute period from Saturday, 02 November 2019 at 12:34 UTC to Monday, 11 November 2019 at 07:30 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #ICURecovery19
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[293] #icurecovery19,recoveryicu [114] icu,patients [108] critical,care [74] recoveryicu,#icurecovery19 [71] don,t [67] #icurehab,#icurecovery19 [64] best,practice [64] early,mobilisation [63] loved,ones [60] evecorner,#icurecovery19 Top Word Pairs in Tweet in G1:
[140] #icurecovery19,recoveryicu [40] icu,patients [33] next,year [33] recoveryicu,#icurecovery19 [30] spronkosaurus,#icurecovery19 [28] #icurecovery19,#icurehab [28] critical,care [28] check,out [27] nydahlpeter,#icurecovery19 [26] early,mobilisation Top Word Pairs in Tweet in G2:
[57] #icurecovery19,recoveryicu [37] critical,care [34] value,slt [31] study,#icurecovery19 [30] selection,slides [30] slides,promoting [30] promoting,value [30] slt,critical [30] care,specialist [30] specialist,focus Top Word Pairs in Tweet in G3:
[42] #icurecovery19,recoveryicu [35] critical,care [19] don,t [17] elie,azoulay [16] loved,ones [15] #icurehab,#icurecovery19 [15] marianne,brackel [15] icu,patients [15] critically,ill [15] recoveryicu,#icurecovery19 Top Word Pairs in Tweet in G4:
[27] icu,patients [20] weaning,#icurecovery19 [15] #icurecovery19,recoveryicu [14] patients,#icurecovery19 [14] muscle,training [13] inspiratory,muscle [12] don,t [11] training,considered [11] considered,patient [11] patient,prolonged Top Word Pairs in Tweet in G5:
[24] best,practice [18] zoewilligen,presenting [14] practice,video [14] video,amazing [13] #icurecovery19,recoveryicu [12] #icurehab,#icurecovery19 [12] one,team [11] excited,sharing [11] sharing,video [11] amazing,team Top Word Pairs in Tweet in G6:
[25] #icurecovery19,recoveryicu [10] #icurehab,#icurecovery19 [8] icu,patients [7] team,work [7] looking,forward [7] #icurecovery19,#icurehab [7] meet,expert [6] weaning,rehabilitation [6] expert,session [6] next,year Top Word Pairs in Tweet in G7:
[26] #everybodymoves,#icurehab [22] #icurecovery19,sometimes [22] sometimes,little [22] little,reminder [22] reminder,goes [22] goes,along [22] along,way [22] way,road [22] road,#bedrestisbad [22] #bedrestisbad,#everybodymoves Top Word Pairs in Tweet in G8:
[3] womb,through [3] through,childhood [3] childhood,music [3] music,based [3] based,healthcare [3] healthcare,interventions [3] interventions,matter [3] matter,artezhogeschool [3] artezhogeschool,uva_amsterdam [3] uva_amsterdam,umcg Top Replied-To in Entire Graph:
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Top Replied-To in G4:
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Top Replied-To in G6:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9: