The graph represents a network of 11,096 Twitter users whose recent tweets contained "DrJenGunter", 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, 07 December 2019 at 21:23 UTC.
The tweets in the network were tweeted over the 6-day, 7-hour, 38-minute period from Sunday, 01 December 2019 at 12:31 UTC to Saturday, 07 December 2019 at 20:09 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 : 11096
Unique Edges : 24633
Edges With Duplicates : 31223
Total Edges : 55856
Self-Loops : 452
Reciprocated Vertex Pair Ratio : 0.0580820060996272
Reciprocated Edge Ratio : 0.109787343069434
Connected Components : 181
Single-Vertex Connected Components : 153
Maximum Vertices in a Connected Component : 10706
Maximum Edges in a Connected Component : 55445
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.476424
Graph Density : 0.000253626590567859
Modularity : 0.357007
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 11,096 Twitter users whose recent tweets contained "DrJenGunter", 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, 07 December 2019 at 21:23 UTC.
The tweets in the network were tweeted over the 6-day, 7-hour, 38-minute period from Sunday, 01 December 2019 at 12:31 UTC to Saturday, 07 December 2019 at 20:09 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 : DrJenGunter
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:
[1609] fucking,expert [1573] drjengunter,sciam [1481] writingblock,drjengunter [1471] ectopic,pregnancies [1309] life,threatening [1288] pregnancies,never [1287] never,viable [1284] er,doc [1284] women,maybe [1282] hi,ohio Top Word Pairs in Tweet in G1:
[298] drjengunter,kamalaharris [209] fucking,expert [190] saying,fucking [181] people,attacking [180] attacking,here [179] here,instagram [179] instagram,saying [179] expert,message [166] shouldn,t [158] t,act Top Word Pairs in Tweet in G2:
[1426] drjengunter,sciam [1421] writingblock,drjengunter [556] writingblock,sciam [491] sciam,drjengunter [320] don,t [269] stefinitely85,drjengunter [240] clothingspin,writingblock [225] laraeparker,drjengunter [224] dr,gunter [197] sciam,writingblock Top Word Pairs in Tweet in G3:
[1241] ectopic,pregnancies [1227] fucking,expert [1224] life,threatening [1222] hi,ohio [1222] ohio,fucking [1222] expert,er [1222] er,doc [1222] doc,treated [1222] treated,plenty [1222] plenty,ectopic Top Word Pairs in Tweet in G4:
[292] ectopic,pregnancy [144] drjengunter,kathykimpel [143] chicagorunner83,drjengunter [139] ectopic,pregnancies [73] mom,died [71] drjengunter,ectopic [69] kill,women [69] fallopian,tube [66] emergency,surgery [66] hours,later Top Word Pairs in Tweet in G5:
[70] drjengunter,malmaisonhotels [69] don,t [68] drjudymelinek,drjengunter [57] angelamrichard1,rubraveenough [57] rubraveenough,winsneurosurge1 [57] _nancymd,clairekarekezi [57] clairekarekezi,sneurosurgs [57] sneurosurgs,choo_ek [57] amarshallmd,amydiehl [57] amydiehl,lillianerdahlmd Top Word Pairs in Tweet in G6:
[126] jilliandemo,jillianratti [115] drjengunter,jilliandemo [95] thinking,whole [95] whole,lot [95] lot,line [95] line,week [95] week,drjengunter [95] drjengunter,giving [95] giving,women [95] women,misinformation Top Word Pairs in Tweet in G7:
[77] drjengunter,kgeee [60] kgeee,drjengunter [35] baby,friendly [34] don,t [29] momstinfoilhat,drjengunter [27] stefinitely85,drjengunter [19] drjengunter,jengunter [19] aren,t [18] drjengunter,m [17] neel_shah,male Top Word Pairs in Tweet in G8:
[72] drjengunter,sheer [72] sheer,scope [72] scope,damage [72] damage,caused [72] caused,measles [72] measles,reported [72] reported,recent [72] recent,paper [72] paper,really [72] really,quite Top Word Pairs in Tweet in G9:
[141] ectopic,pregnancy [135] hard,enough [135] enough,wife [135] wife,ectopic [135] pregnancy,thought [135] thought,having [135] having,undergo [135] undergo,unnecessary [135] unnecessary,unethical [135] unethical,surgical Top Word Pairs in Tweet in G10:
[5] ectopic,pregnancies [3] dr,gunter [3] health,care [3] big,pharma [2] win,science [2] pie,breakfast [2] obstacle,goal [2] pro,birthers [2] end,result [2] need,keep Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: