The graph represents a network of 6,102 Twitter users whose recent tweets contained "Pharma", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 13:11 UTC.
The tweets in the network were tweeted over the 1938-day, 4-hour, 28-minute period from Saturday, 18 November 2017 at 20:32 UTC to Saturday, 11 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 6102
Unique Edges : 3786
Edges With Duplicates : 10788
Total Edges : 14574
Number of Edge Types : 9
Retweet : 3837
MentionsInRetweet : 5734
Tweet : 572
Replies to : 1220
MentionsInReplyTo : 2705
MentionsInQuote : 60
Quote : 146
Mentions : 187
MentionsInQuoteReply : 113
Self-Loops : 714
Reciprocated Vertex Pair Ratio : 0.0193195625759417
Reciprocated Edge Ratio : 0.03790678269162
Connected Components : 673
Single-Vertex Connected Components : 131
Maximum Vertices in a Connected Component : 3940
Maximum Edges in a Connected Component : 10426
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.499047
Graph Density : 0.000225339313084975
Modularity : 0.527413
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,102 Twitter users whose recent tweets contained "Pharma", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 13:11 UTC.
The tweets in the network were tweeted over the 1938-day, 4-hour, 28-minute period from Saturday, 18 November 2017 at 20:32 UTC to Saturday, 11 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : Pharma
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1519] big,pharma [834] vigilantfox,robertkennedyjr [832] 100,000 [831] first,class [826] pharmaceutical,industry [826] remove,mask [825] next,first [825] person,sitting [825] 000,remove [825] class,refused Top Word Pairs in Tweet in G1:
[804] vigilantfox,robertkennedyjr [789] media,extension [789] robertkennedyjr,media [789] extension,pharmaceutical [789] industry,75 [789] advertising,revenues [789] 75,advertising [789] pharmaceutical,industry [788] revenues,mai [404] vigilantfox,pharma Top Word Pairs in Tweet in G2:
[753] first,class [752] 100,000 [749] remove,mask [748] board,delta [748] refused,100 [748] 000,remove [748] sitting,next [748] next,first [748] class,refused [748] delta,flight Top Word Pairs in Tweet in G3:
[334] big,pharma [121] drug,cartel [121] legal,drug [120] pharma,legal [119] robschneider,#hardfacts [119] cartel,robschneider [118] chesschick01,big [105] incredible,bigtree [105] highwiretalk,incredible [105] pharma,more Top Word Pairs in Tweet in G4:
[104] more,importantly [104] immunity,more [104] tweets,natural [104] importantly,voices [104] posted,tweet [104] voices,constituents [104] constituents,posted [104] natural,immunity [103] repthomasmassie,tweets [103] tweet,censor Top Word Pairs in Tweet in G5:
[46] big,pharma [10] pharma,inc [5] drug,cartel [5] pharma,legal [5] legal,drug [5] rob,schneider [4] inozyme,pharma [4] amazon限定ブランド,第2類医薬品 [4] valley,bank [4] silicon,valley Top Word Pairs in Tweet in G6:
[86] huge,profits [86] price,insulin [86] gop,actually [86] actually,lowering [86] americans,care [86] lowering,price [86] bad,americans [86] profits,big [86] insulin,bad [86] care,huge Top Word Pairs in Tweet in G7:
[63] big,pharma [54] cartel,pharma [54] kennedy,corruption [54] corruption,cartel [54] robert,kennedy [53] verity_france,robert [22] pharma,legal [22] until,homicide [22] cartel',pharma [22] schneider,big Top Word Pairs in Tweet in G8:
[131] big,pharma [77] deepstate,killed [77] bryant,suing [77] before,supposed [77] kobe,bryant [77] days,before [77] supposed,testify [77] killed,days [77] pharma,deepstate [77] suing,big Top Word Pairs in Tweet in G9:
[23] big,pharma [11] 2020,government [11] pharma,sponsored [11] strong,#covid19 [11] shopping,2020 [11] #covid19,#masks [11] pysop,strong [11] sponsored,pysop [11] government,pharma [10] cotupacs,shopping Top Word Pairs in Tweet in G10:
[43] far,right [41] polemicist,explicitly [41] ggreenwald,statesman [41] listing,views [41] statesman,listing [41] brand,espouses [41] views,brand [41] right,polemicist [41] espouses,make [41] explicitly,listed Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: