The graph represents a network of 736 Twitter users whose recent tweets contained "#acc21 OR #acc2021", 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, 08 May 2021 at 10:34 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 48-minute period from Friday, 30 April 2021 at 20:43 UTC to Saturday, 08 May 2021 at 10:31 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 : 736
Unique Edges : 2173
Edges With Duplicates : 447
Total Edges : 2620
Self-Loops : 74
Reciprocated Vertex Pair Ratio : 0.0429669832654907
Reciprocated Edge Ratio : 0.0823937554206418
Connected Components : 41
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 543
Maximum Edges in a Connected Component : 1928
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.289806
Graph Density : 0.00426279207335108
Modularity : 0.661558
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 736 Twitter users whose recent tweets contained "#acc21 OR #acc2021", 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, 08 May 2021 at 10:34 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 48-minute period from Friday, 30 April 2021 at 20:43 UTC to Saturday, 08 May 2021 at 10:31 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #acc21 OR #acc2021
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:
[183] stay,tuned [182] dapagliflozin,becomes [182] becomes,1st [182] 1st,#sglt2i [182] #sglt2i,class [182] class,triple [182] triple,indicated [182] indicated,#t2d [182] #t2d,#hf [182] #hf,#ckd Top Word Pairs in Tweet in G1:
[175] dapagliflozin,becomes [175] becomes,1st [175] 1st,#sglt2i [175] #sglt2i,class [175] class,triple [175] triple,indicated [175] indicated,#t2d [175] #t2d,#hf [175] #hf,#ckd [175] #ckd,us_fda Top Word Pairs in Tweet in G2:
[39] #acc21,accintouch [34] 15,17 [31] learn,more [27] don,t [27] presented,#acc21 [27] social,media [27] media,ambassador [25] ambassador,#acc21 [25] #acc21,follow [25] 17,updates Top Word Pairs in Tweet in G3:
[32] thu,13 [25] https,t [25] t,co [24] free,attend [23] co,tncxd8kr6s [21] advanced,coloproctology [21] coloproctology,course [15] james,wheeler [15] #acc2021,tpfsuk [15] tpfsuk,chairs Top Word Pairs in Tweet in G4:
[22] social,media [22] media,ambassador [22] #acc21,follow [22] 15,17 [17] ambassador,#acc21 [17] follow,15 [17] 17,updates [17] updates,accintouch [16] m,thrilled [16] thrilled,#accfit Top Word Pairs in Tweet in G5:
[23] clinical,trials [22] 5,15 [22] 15,9 [22] 9,00 [22] late,breaking [21] #acc21,5 [21] 00,et [21] et,late [21] breaking,clinical [21] trials,session Top Word Pairs in Tweet in G6:
[6] partner,malattie [6] malattie,cardiache [6] cardiache,puo' [6] puo',raddoppiare [6] raddoppiare,il [6] il,rischio [6] rischio,per [6] per,l' [6] l',altro [6] altro,ma Top Word Pairs in Tweet in G7:
[6] lampoon,way [6] way,go [6] go,pretmvr [6] pretmvr,asa [6] asa,better [6] better,needed [6] needed,pretavr [6] pretavr,cathelectrosurg [6] cathelectrosurg,go [6] go,head Top Word Pairs in Tweet in G8:
[14] recent,evidence [14] evidence,#ecmo [14] #ecmo,cpr [14] cpr,#ecpr [14] #ecpr,arrest [14] arrest,results [14] results,thelancet [14] thelancet,rationale [14] rationale,methods [14] methods,jason_bartos Top Word Pairs in Tweet in G9:
[10] #acc21,study [6] new,#acc21 [5] email,sroth [5] sroth,acc [5] acc,org [5] press,kit [5] secondhand,smoke [4] org,register [4] exposure,secondhand [3] according,new Top Word Pairs in Tweet in G10:
[4] congratulations,trainees [4] trainees,yalevamos [4] yalevamos,featuring [4] featuring,work [4] work,vascular [4] vascular,quality [4] quality,care [4] care,outcomes [4] outcomes,upcoming [4] upcoming,#acc21 Top Replied-To in Entire Graph:
Top Replied-To in G2:
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: