The graph represents a network of 2,253 Twitter users whose recent tweets contained "#ICSSOA19 OR #ICSSOA OR #ICSSOA2019", 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 Thursday, 12 December 2019 at 12:01 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 44-minute period from Tuesday, 03 December 2019 at 11:59 UTC to Thursday, 12 December 2019 at 11:44 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 : 2253
Unique Edges : 8079
Edges With Duplicates : 9683
Total Edges : 17762
Self-Loops : 1382
Reciprocated Vertex Pair Ratio : 0.0773316337369875
Reciprocated Edge Ratio : 0.143561427726287
Connected Components : 29
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 2204
Maximum Edges in a Connected Component : 17705
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.068783
Graph Density : 0.00199891362533003
Modularity : 0.281323
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2,253 Twitter users whose recent tweets contained "#ICSSOA19 OR #ICSSOA OR #ICSSOA2019", 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 Thursday, 12 December 2019 at 12:01 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 44-minute period from Tuesday, 03 December 2019 at 11:59 UTC to Thursday, 12 December 2019 at 11:44 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 : #ICSSOA19 OR #ICSSOA OR #ICSSOA2019
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:
[654] critical,care [585] ics_updates,#icssoa [375] #icssoa,ics_updates [368] organ,donation [292] intensive,care [236] don,t [225] #icssoa,#rehablegend [211] looking,forward [185] #foamed,#foamcc [179] session,#icssoa Top Word Pairs in Tweet in G1:
[286] organ,donation [266] critical,care [214] ics_updates,#icssoa [174] intensive,care [141] #icssoa,ics_updates [141] #foamed,#foamcc [138] don,t [97] #icssoa,#foamed [94] session,#icssoa [90] looking,forward Top Word Pairs in Tweet in G2:
[269] critical,care [222] ics_updates,#icssoa [172] #icssoa,#rehablegend [145] #icssoa,ics_updates [94] #rehablegend,#icuahps [65] looking,forward [65] don,t [62] patients,#icssoa [53] session,#icssoa [42] #rehablegend,#icssoa Top Word Pairs in Tweet in G3:
[95] ics_updates,#icssoa [72] critical,care [67] #icssoa,ics_updates [47] intensive,care [39] looking,forward [27] #icssoa,monday [26] missed,care [25] iceman_ex,wilkinsonjonny [24] #foamed,#foamcc [24] icu,patient Top Word Pairs in Tweet in G4:
[34] ics_updates,#icssoa [28] talk,emicucanada [26] cardiac,arrest [24] wonderful,talk [24] emicucanada,avoid [24] avoid,nightmare [24] nightmare,withdrawing [24] withdrawing,life [24] life,sustaining [24] sustaining,support Top Word Pairs in Tweet in G5:
[94] 30ml,kg [47] glorious,anecdote [47] anecdote,anthony [47] anthony,gordon [47] gordon,expert [47] expert,panel [47] panel,origin [47] origin,30ml [47] kg,fluid [47] fluid,resus Top Word Pairs in Tweet in G6:
[40] six,month [40] month,old [40] mental,health [39] m,10 [39] 10,591 [39] 591,miles [39] miles,home [39] home,six [39] old,baby [39] baby,washed Top Word Pairs in Tweet in G7:
[13] #pedsicu,#icssoa [10] nice,each [10] each,surely [10] surely,s [10] s,difficult [10] difficult,sharing [10] sharing,one [10] one,aim [10] aim,healthcare [10] healthcare,look Top Word Pairs in Tweet in G8:
[14] clonidine,vs [14] vs,dexmedetomidine [14] dexmedetomidine,ed_timwalsh [14] ed_timwalsh,talks [14] talks,spice [14] spice,#icssoa [5] ics_updates,#icssoa [5] good,meet [5] meet,cis [5] cis,studies Top Word Pairs in Tweet in G9:
[9] noise,icu [9] icu,tell [9] tell,jldarbyshire [9] jldarbyshire,#icssoa [7] booth,c7 [7] #lidco,#hemodynamicmonitoring [7] #hemodynamicmonitoring,#cardiacoutput [7] 9,15 [7] circadian,rhythms [5] stimpod,nms Top Word Pairs in Tweet in G10:
[8] calling,icm [7] #icssoa,#icssoa19 [6] critical,care [6] future,generation [6] icm,trainees [6] trainees,look [6] look,out [6] research,project [6] coming,soon [5] #icssoa,ics_updates Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: