The graph represents a network of 6,830 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 13:11 UTC.
The tweets in the network were tweeted over the 1861-day, 5-hour, 31-minute period from Saturday, 13 January 2018 at 19:29 UTC to Saturday, 18 February 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 : 6830
Unique Edges : 3832
Edges With Duplicates : 11317
Total Edges : 15149
Number of Edge Types : 9
Retweet : 3333
MentionsInRetweet : 4247
Replies to : 1754
MentionsInReplyTo : 4170
Tweet : 913
Mentions : 337
Quote : 148
MentionsInQuote : 202
MentionsInQuoteReply : 45
Self-Loops : 1138
Reciprocated Vertex Pair Ratio : 0.0273752012882448
Reciprocated Edge Ratio : 0.0532915360501567
Connected Components : 978
Single-Vertex Connected Components : 241
Maximum Vertices in a Connected Component : 3963
Maximum Edges in a Connected Component : 9965
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.790359
Graph Density : 0.000177822296480409
Modularity : 0.531033
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,830 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 13:11 UTC.
The tweets in the network were tweeted over the 1861-day, 5-hour, 31-minute period from Saturday, 13 January 2018 at 19:29 UTC to Saturday, 18 February 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:
[1802] big,pharma [765] doctors,scientists [764] saying,years [763] years,natural [763] robertkennedyjr,lancet [763] scientists,gaslit [763] lancet,finally [763] acknowledging,doctors [763] gaslit,saying [763] finally,acknowledging Top Word Pairs in Tweet in G1:
[716] saying,years [715] finally,acknowledging [715] lancet,finally [715] doctors,scientists [715] gaslit,saying [715] scientists,gaslit [715] acknowledging,doctors [715] robertkennedyjr,lancet [715] years,natural [346] vigilantfox,robertkennedyjr Top Word Pairs in Tweet in G2:
[88] big,pharma [9] pharma,food [8] elze,hamelen [5] pharma,choice [5] trans,people [5] okyo,pharma [5] fda,approval [5] apellis,pharma [5] pharma,inc [5] amazon限定ブランド,第2類医薬品 Top Word Pairs in Tweet in G3:
[152] network,advertising [152] dollars,brought [152] television,network [152] brought,#pfizer [152] #pfizer,pharma [152] 75,television [152] advertising,dollars [152] know,75 [151] letsgobrando45,know [151] pharma,friend Top Word Pairs in Tweet in G4:
[82] attempt,address [82] greatest,failures [82] history,world [82] one,greatest [82] pandemic,written [82] address,covid [82] world,attempt [82] covid,pandemic [82] written,one [81] draseemmalhotra,history Top Word Pairs in Tweet in G5:
[81] big,pharma [17] melissa08713442,stkirsch [17] djgry7,melissa08713442 [15] pharma_mule,djgry7 [13] bernie,sanders [12] pharma,ceo [12] price,hike [12] reversing,planned [12] planned,price [12] scares,big Top Word Pairs in Tweet in G6:
[53] two,years [52] ran,money [52] laundering,scheme [52] takes,money [52] money,families [52] potus,two [52] money,laundering [52] families,struggling [52] struggling,inflation [52] scheme,takes Top Word Pairs in Tweet in G7:
[36] big,pharma [9] exposes,big [9] hero,mom [9] mom,exposes [9] big,pharma's [9] vaxx,experiments [9] allow,vaxx [9] live,parents [9] paid,allow [9] parents,paid Top Word Pairs in Tweet in G8:
[84] reporting,30 [84] young,adults [84] deaths,young [84] attack,deaths [84] news,reporting [84] mainstream,news [84] heart,attack [84] aged,25 [84] 30,increase [84] increase,heart Top Word Pairs in Tweet in G9:
[84] way,down [84] kids,don [84] don,need [84] down,service [84] profits,pharma [84] service,vax [84] knew,lies [84] vax,uptake [84] pharma,kids [84] always,knew Top Word Pairs in Tweet in G10:
[58] france,standing [58] pitter,patter [58] doctors,patients [58] heart,goes [58] goes,pitter [58] patter,appreciation [58] people,france [58] appreciation,people [58] standing,doctors [57] drscottjensen,heart Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: