The graph represents a network of 5,515 Twitter users whose recent tweets were included in a list (Tweet ID List #ACC22 (Day 1 & pre-event)) of 13664 tweet IDs, or who were replied to or mentioned in those tweets. 13540 out of 13664 tweets were collected. The network was obtained from Twitter on Sunday, 03 April 2022 at 09:58 UTC.
The tweets in the network were tweeted over the 9-day, 23-hour, 29-minute period from Thursday, 24 March 2022 at 09:20 UTC to Sunday, 03 April 2022 at 08:50 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 : 5515
Unique Edges : 29342
Edges With Duplicates : 28818
Total Edges : 58160
Self-Loops : 1262
Reciprocated Vertex Pair Ratio : 0.103820848675077
Reciprocated Edge Ratio : 0.188111773390933
Connected Components : 206
Single-Vertex Connected Components : 150
Maximum Vertices in a Connected Component : 5187
Maximum Edges in a Connected Component : 57751
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.233832
Graph Density : 0.00120270795084859
Modularity : 0.320076
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,515 Twitter users whose recent tweets were included in a list (Tweet ID List #ACC22 (Day 1 & pre-event)) of 13664 tweet IDs, or who were replied to or mentioned in those tweets. 13540 out of 13664 tweets were collected. The network was obtained from Twitter on Sunday, 03 April 2022 at 09:58 UTC.
The tweets in the network were tweeted over the 9-day, 23-hour, 29-minute period from Thursday, 24 March 2022 at 09:20 UTC to Sunday, 03 April 2022 at 08:50 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 : TwitterIDList
Graph Term : Tweet ID List #ACC22 (Day 1 & pre-event)
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:
[818] #acc22,accintouch [623] accintouch,#acc22 [585] heart,failure [456] looking,forward [443] clinical,events [397] check,out [381] guideline,management [377] thelancet,#acc22 [376] events,thelancet [370] sodium,hf Top Word Pairs in Tweet in G1:
[432] #acc22,accintouch [357] accintouch,#acc22 [265] social,media [233] looking,forward [165] media,ambassador [156] don,t [143] #acc22,follow [141] #acc22,#cardiotwitter [138] #acc22,#accwic [135] sodium,hf Top Word Pairs in Tweet in G2:
[203] #acc22,accintouch [154] accintouch,#acc22 [111] chronic,hypertension [93] presented,#acc22 [93] learn,more [93] blood,pressure [75] mild,chronic [71] check,out [70] 140,90 [70] lt,140 Top Word Pairs in Tweet in G3:
[229] aha,acc [205] guideline,management [197] management,#heartfailure [196] hfsa,guideline [194] top,10 [193] #acc22,almucastro01 [182] check,out [181] american_heart,hfsa [177] acc,american_heart [177] #clinicalguidelines,#acc22 Top Word Pairs in Tweet in G4:
[73] #acc22,accintouch [65] #cardiology,#cardiotwitter [56] #acc22,#cardiotwitter [48] learn,more [47] accintouch,#acc22 [46] looking,forward [46] accintouch,#cardiotwitter [41] presented,#acc22 [39] late,breaking [38] new,#acc22 Top Word Pairs in Tweet in G5:
[342] heart,failure [341] medical,dogma [341] dogma,people [341] people,heart [341] failure,need [341] need,adhere [341] adhere,low [341] low,salt [341] salt,diet [341] diet,largest Top Word Pairs in Tweet in G6:
[35] #poise3,#rct [27] pj,devereaux [25] #acc22,accintouch [15] #acc22,#cardiotwitter [14] patients,undergoing [14] undergoing,noncardiac [14] noncardiac,surgery [13] late,breaking [13] tranexamic,acid [12] #phri,senior Top Word Pairs in Tweet in G7:
[24] session,#acc22 [19] accintouch,ase360 [17] #acc22,accintouch [16] ase360,accintouch [15] looking,forward [15] spectral,doppler [15] doppler,shape [15] shape,helpful [15] helpful,differentiating [15] differentiating,left Top Word Pairs in Tweet in G8:
[12] looking,forward [6] heart,failure [6] #acc22,#cardiology [6] washington,dc [6] https,t [6] t,co [5] american,college [5] april,2 [5] stop,booth [4] learn,more Top Word Pairs in Tweet in G9:
[13] presented,dlbhattmd [12] choices,#acc22 [12] #acc22,1 [12] 1,#mavacamtem [12] #mavacamtem,#hcm [12] #hcm,2 [12] 2,#sglt2i [12] #sglt2i,#sotagliflozin [12] #sotagliflozin,3 [12] 3,#bentracimab Top Word Pairs in Tweet in G10:
[9] impella,heart [9] heart,pumps [9] skilled,physicians [9] physicians,recover [9] recover,hearts [8] save,lives [8] _adevore,#acc22 [7] pumps,help [7] help,skilled [6] up,#acc22 Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: