The graph represents a network of 1,432 Twitter users whose recent tweets were included in a list (Tweet ID List - #ShareTheMicNowMed to 24/6/2020) of 3610 tweet IDs, or who were replied to or mentioned in those tweets. 3610 out of 3610 tweets were collected. The network was obtained from Twitter on Monday, 29 June 2020 at 06:39 UTC.
The tweets in the network were tweeted over the 5-day, 18-hour, 30-minute period from Friday, 19 June 2020 at 01:20 UTC to Wednesday, 24 June 2020 at 19:50 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 : 1432
Unique Edges : 4861
Edges With Duplicates : 5455
Total Edges : 10316
Self-Loops : 138
Reciprocated Vertex Pair Ratio : 0.0434782608695652
Reciprocated Edge Ratio : 0.0833333333333333
Connected Components : 28
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 1394
Maximum Edges in a Connected Component : 10276
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.851727
Graph Density : 0.00295140718878465
Modularity : 0.292168
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1,432 Twitter users whose recent tweets were included in a list (Tweet ID List - #ShareTheMicNowMed to 24/6/2020) of 3610 tweet IDs, or who were replied to or mentioned in those tweets. 3610 out of 3610 tweets were collected. The network was obtained from Twitter on Monday, 29 June 2020 at 06:39 UTC.
The tweets in the network were tweeted over the 5-day, 18-hour, 30-minute period from Friday, 19 June 2020 at 01:20 UTC to Wednesday, 24 June 2020 at 19:50 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 : TwitterIDList
Graph Term : Tweet ID List - #ShareTheMicNowMed to 24/6/2020
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:
[607] taking,over [582] black,women [463] #medtwitter,accounts [425] pedsmd2b,#sharethemicnowmed [421] june,22 [351] take,over [319] women,physicians [289] over,account [275] 22,2020 [246] amplify,voices Top Word Pairs in Tweet in G1:
[225] black,women [224] taking,over [171] june,22 [156] #medtwitter,accounts [155] drjaysheree,#sharethemicnowmed [152] take,over [149] pedsmd2b,#sharethemicnowmed [128] over,account [127] women,physicians [99] #sharethemicnowmed,#sharethemicnowmed Top Word Pairs in Tweet in G2:
[116] taking,over [105] black,women [89] june,22 [85] #medtwitter,accounts [78] 22,2020 [71] women,physicians [69] over,#medtwitter [66] amplify,voices [66] tagged,below [59] accounts,june Top Word Pairs in Tweet in G3:
[96] black,women [96] taking,over [74] take,over [67] #medtwitter,accounts [64] black,voices [62] check,out [61] june,22 [55] non,black [54] amplify,black [54] black,doctors Top Word Pairs in Tweet in G4:
[185] pedsmd2b,#sharethemicnowmed [44] taking,over [39] black,people [38] 1,pedsmd2b [34] black,women [29] #sharethemicnowmed,#medtwitter [25] #sharethemicnowmed,#blackintheivory [24] med,school's [24] school's,hard [24] hard,everyone Top Word Pairs in Tweet in G5:
[67] black,women [46] june,22 [40] don,t [40] #medtwitter,accounts [39] taking,over [39] take,over [36] 22,2020 [34] #sharethemicnowmed,today [33] t,miss [32] amazing,black Top Word Pairs in Tweet in G6:
[118] adocnameddani,#sharethemicnowmed [37] #sharethemicnowmed,#blackmedtwitter [28] taking,over [27] black,women [24] over,account [23] really,want [23] want,move [23] move,conversation [23] conversation,bias [23] bias,medicine Top Word Pairs in Tweet in G7:
[78] friday,june [73] june,26 [70] #medtwitter,accounts [64] please,help [62] help,amplify [58] 26,black [58] black,men [58] men,medicine [58] medicine,taking [52] taking,over Top Word Pairs in Tweet in G8:
[73] #blackintheivory,#blacklivesmatter [73] #blacklivesmatter,#sharethemicnowmed [73] #sharethemicnowmed,#endracism [73] #endracism,#racismisapublichealthcrisis [47] imagine,one [47] one,reasons [47] reasons,people [47] people,cling [47] cling,hates [47] hates,stubbornly Top Word Pairs in Tweet in G9:
[24] african,american [20] first,african [20] american,woman [13] prof,medicine [10] black,women [10] women,physicians [10] physicians,duke_gi_ [10] duke_gi_,paved [10] paved,way [10] way,dr Top Word Pairs in Tweet in G10:
[9] black,female [9] female,physicians [6] social,media [5] prominent,female [5] physicians,handing [5] handing,over [5] over,social [5] media,platforms [5] platforms,today [5] today,black Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: