The graph represents a network of 2,292 Twitter users whose recent tweets contained "#ShareTheMicNowMed", 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 Sunday, 28 June 2020 at 16:38 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 7-minute period from Saturday, 20 June 2020 at 09:27 UTC to Sunday, 28 June 2020 at 15:34 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 : 2292
Unique Edges : 8433
Edges With Duplicates : 9594
Total Edges : 18027
Self-Loops : 238
Reciprocated Vertex Pair Ratio : 0.0481396048540768
Reciprocated Edge Ratio : 0.0918572385417663
Connected Components : 33
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 2245
Maximum Edges in a Connected Component : 17972
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.917921
Graph Density : 0.00199029817717558
Modularity : 0.310407
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 2,292 Twitter users whose recent tweets contained "#ShareTheMicNowMed", 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 Sunday, 28 June 2020 at 16:38 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 7-minute period from Saturday, 20 June 2020 at 09:27 UTC to Sunday, 28 June 2020 at 15:34 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 : #ShareTheMicNowMed
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:
[1113] taking,over [864] #medtwitter,accounts [602] black,women [504] friday,june [482] over,account [470] black,men [468] men,medicine [453] medicine,taking [431] june,22 [430] take,over Top Word Pairs in Tweet in G1:
[464] taking,over [382] friday,june [373] #medtwitter,accounts [345] black,men [344] men,medicine [336] medicine,taking [334] june,26 [259] 26,black [223] please,help [220] help,amplify Top Word Pairs in Tweet in G2:
[448] taking,over [374] black,women [342] pedsmd2b,#sharethemicnowmed [295] #medtwitter,accounts [283] june,22 [219] take,over [215] women,physicians [212] adocnameddani,#sharethemicnowmed [210] 22,2020 [209] over,account Top Word Pairs in Tweet in G3:
[88] #blackintheivory,#blacklivesmatter [88] #blacklivesmatter,#sharethemicnowmed [88] #sharethemicnowmed,#endracism [88] #endracism,#racismisapublichealthcrisis [63] non,black [63] black,doctors [62] black,voices [61] amplify,black [61] doctors,hand [61] hand,over Top Word Pairs in Tweet in G4:
[99] drjaysheree,#sharethemicnowmed [75] black,women [71] #medtwitter,accounts [71] take,over [60] june,22 [49] taking,over [46] over,account [43] women,physicians [39] true,allies [36] account,rubraveenough Top Word Pairs in Tweet in G5:
[69] taking,over [69] #medtwitter,accounts [67] black,men [67] men,medicine [66] friday,june [66] medicine,taking [66] please,help [66] help,amplify [65] over,several [65] several,#medtwitter Top Word Pairs in Tweet in G6:
[40] black,women [34] taking,over [32] voices,black [28] amplify,voices [28] tomorrow,#sharethemicnowmed [22] dr,strong [21] women,doctors [20] #sharethemicnowmed,here [20] please,help [19] help,amplify Top Word Pairs in Tweet in G7:
[40] psychiatrist,assistant [40] assistant,professor [40] professor,psychiatry [32] day,96 [32] 96,page [32] page,96 [32] 96,meet [32] meet,drayanajordan [32] drayanajordan,addiction [32] addiction,psychiatrist Top Word Pairs in Tweet in G8:
[24] african,american [20] first,african [20] american,woman [13] prof,medicine [12] black,women [11] women,physicians [10] physicians,duke_gi_ [10] duke_gi_,paved [10] paved,way [10] way,dr Top Word Pairs in Tweet in G9:
[9] female,physicians [8] black,female [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 Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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