The graph represents a network of 21,371 Twitter users whose recent tweets contained "ozempic", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 11/12/2023 6:15:47 PM. The network was obtained from Twitter on Monday, 13 November 2023 at 07:24 UTC.
The tweets in the network were tweeted over the 1274-day, 4-hour, 14-minute period from Sunday, 17 May 2020 at 22:01 UTC to Monday, 13 November 2023 at 02:15 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 : 21371
Unique Edges : 21027
Edges With Duplicates : 4764
Total Edges : 25791
Number of Edge Types : 9
Retweet : 5932
Tweet : 6270
Replies to : 7092
MentionsInReplyTo : 3392
Quote : 1029
MentionsInRetweet : 608
Mentions : 1368
MentionsInQuote : 83
MentionsInQuoteReply : 17
Self-Loops : 6845
Reciprocated Vertex Pair Ratio : 0.0142574487895717
Reciprocated Edge Ratio : 0.0281140627689483
Connected Components : 6302
Single-Vertex Connected Components : 3642
Maximum Vertices in a Connected Component : 9415
Maximum Edges in a Connected Component : 13659
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.085474
Graph Density : 3.81630523802948E-05
Modularity : 0.74013
NodeXL Version : 1.0.1.523
Data Import : The graph represents a network of 21,371 Twitter users whose recent tweets contained "ozempic", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 11/12/2023 6:15:47 PM. The network was obtained from Twitter on Monday, 13 November 2023 at 07:24 UTC.
The tweets in the network were tweeted over the 1274-day, 4-hour, 14-minute period from Sunday, 17 May 2020 at 22:01 UTC to Monday, 13 November 2023 at 02:15 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 : TwitterSearch3
Graph Term : ozempic
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1546] weight,loss [1307] ozempic,pay [1306] pay,crimes [1304] manufacturers,ozempic [1303] djordxc,manufacturers [731] taking,ozempic [563] ozempic,wegovy [439] side,effects [396] novo,nordisk [394] ozempic,slim Top Word Pairs in Tweet in G1:
[595] weight,loss [261] same,day [252] injection,pens [250] top,grade [250] buy,top [250] day,delivery [250] #weed,#cocaine [249] #coke,#edibles [249] 420,#weed [249] #ozempic,injection Top Word Pairs in Tweet in G2:
[1270] manufacturers,ozempic [1270] pay,crimes [1270] ozempic,pay [1269] djordxc,manufacturers [3] gave,ozempic [3] ozempic,body [3] breakup,gave [2] juul_survivor,breakup [2] share,ozempic Top Word Pairs in Tweet in G3:
[35] weight,loss [32] side,effects [30] ozempic,face [26] ozempic,side [23] nausea,watery [23] vision,low [23] effects,include [23] uncontrollable,diarrhoea [23] reported,ozempic [23] watery,uncontrollable Top Word Pairs in Tweet in G4:
[82] adamkinzinger,mattgaetz [68] sarahhuckabee,ozempic [60] mattgaetz,ozempic [30] ozempic,face [17] taking,ozempic [17] oh,oh [15] ozempic,working [14] side,effects [14] sarahhuckabee,realdonaldtrump [10] oh,ozempic Top Word Pairs in Tweet in G5:
[25] fuck,fuck [18] megan,thee [18] thee,stallion [14] leigh,anne [12] million,views [12] coco,jones [12] trust,men [11] years,ago [10] keke,palmer [9] female,rapper Top Word Pairs in Tweet in G6:
[22] john,fuda [20] sooooo,john [20] teresa,again [20] wife,wouldn [20] season,calling [20] coming,teresa [20] again,season [20] fuda,coming [20] calling,wife [19] heyyarnolddd,sooooo Top Word Pairs in Tweet in G7:
[214] taking,ozempic [203] slim,down [202] ozempic,slim [197] woman,dies [189] dies,taking [167] shouldn,gone [167] wedding,shouldn [167] daughter,wedding [167] down,daughter [165] nypost,woman Top Word Pairs in Tweet in G8:
[73] brazil,sfe [67] elililly,mounjaro [67] grande,sucesso [67] mounjaro,novonordisk [67] amgen,barclays [67] sfe,amgen [67] pfizer,#brazilsfe [67] barclays,elililly [67] novonordisk,pfizer [67] batalha,grande Top Word Pairs in Tweet in G9:
[301] corner,entertainment [301] ozempic,hitting [301] entertainment,industry [301] hitting,corner [300] sleep2dream,ozempic [91] going,crazy [91] ozempic,going [90] solomonmissouri,ozempic [21] djordxc,manufacturers [21] pay,crimes Top Word Pairs in Tweet in G10:
[39] darkmsolvent,ozempic [21] thetrueshelby,ozempic [19] ozempic,face [14] oh,oh [10] weight,loss [10] acyn,ozempic [10] mikesington,ozempic [9] side,effects [7] oh,ozempic [7] ozempic,working Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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Top Mentioned in G7:
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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: