The graph represents a network of 1,421 Twitter users whose recent tweets contained "#AmericanHeartMonth", 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, 03 February 2022 at 03:13 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 12-minute period from Wednesday, 26 January 2022 at 00:08 UTC to Thursday, 03 February 2022 at 02:20 UTC.
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 : 1421
Unique Edges : 1656
Edges With Duplicates : 209
Total Edges : 1865
Number of Edge Types : 5
Retweet : 549
Tweet : 726
Mentions : 246
MentionsInRetweet : 341
Replies to : 3
Self-Loops : 728
Reciprocated Vertex Pair Ratio : 0.0223255813953488
Reciprocated Edge Ratio : 0.0436760691537762
Connected Components : 679
Single-Vertex Connected Components : 482
Maximum Vertices in a Connected Component : 217
Maximum Edges in a Connected Component : 320
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.511857
Graph Density : 0.000544647193505863
Modularity : 0.713964
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,421 Twitter users whose recent tweets contained "#AmericanHeartMonth", 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, 03 February 2022 at 03:13 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 12-minute period from Wednesday, 26 January 2022 at 00:08 UTC to Thursday, 03 February 2022 at 02:20 UTC.
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 : #AmericanHeartMonth
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[403] heart,disease [387] february,#americanheartmonth [229] heart,health [224] heart,month [216] american,heart [202] heart,healthy [124] #americanheartmonth,time [116] focus,heart [110] february,american [102] time,focus Top Word Pairs in Tweet in G1:
[145] heart,disease [136] february,#americanheartmonth [132] heart,month [126] american,heart [87] heart,health [65] heart,healthy [64] february,american [43] cardiovascular,health [38] blood,pressure [29] focus,cardiovascular Top Word Pairs in Tweet in G2:
[93] heart,disease [85] february,#americanheartmonth [82] #americanheartmonth,time [80] heart,healthy [79] time,focus [79] focus,heart [79] healthy,lifestyles [79] lifestyles,health [79] health,literacy [79] literacy,interventions Top Word Pairs in Tweet in G3:
[11] february,#americanheartmonth [10] heart,health [9] heart,disease [8] american_heart,#americanheartmonth [7] cardiovascular,health [7] #americanheartmonth,american_heart [7] junior,class [7] mchsboysbball,game [6] 000,people [6] leading,death Top Word Pairs in Tweet in G4:
[44] women's,health [22] #americanheartmonth,ahascience [22] ahascience,#ahawic [22] #ahawic,committee [22] committee,dropping [22] dropping,women's [22] health,month [22] month,follow [22] follow,#ahawic [22] #ahawic,knowledge Top Word Pairs in Tweet in G5:
[12] february,#americanheartmonth [12] heart,disease [6] raise,awareness [5] spread,word [5] national,heart [5] heart,lung [5] lung,blood [5] blood,institute [5] institute,nih_nhlbi [5] prevent,heart Top Word Pairs in Tweet in G6:
[17] launches,#americanheartmonth [17] #americanheartmonth,important [17] important,focus [17] focus,heart [17] heart,health [17] health,month [17] month,important [17] important,muscle [17] muscle,body [17] body,heart Top Word Pairs in Tweet in G7:
[12] heart,disease [10] risk,heart [7] play,big [7] big,role [7] february,#americanheartmonth [7] heart,healthy [5] reduce,risk [5] #americanheartmonth,lot [5] lot,love [5] love,walnuts Top Word Pairs in Tweet in G8:
[10] feb,28 [10] 28,12pm [10] 12pm,et [10] et,join [10] join,#digital [10] #digital,roundtable [10] roundtable,#healthcare [10] #healthcare,innovation [10] innovation,featuring [10] featuring,gchristcle Top Word Pairs in Tweet in G9:
[11] smoking,major [11] major,cardiovascular [11] cardiovascular,disease [11] disease,cvd [11] cvd,#americanheartmonth [11] #americanheartmonth,learn [11] learn,quitting [11] quitting,smoking [11] smoking,protect [11] protect,heart Top Word Pairs in Tweet in G10:
[7] february,american [7] american,heart [7] heart,month [7] month,active [7] active,role [7] role,reducing [7] reducing,heart [7] heart,disease [7] disease,eating [7] eating,healthy Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G8:
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: