The graph represents a network of 6,521 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 13:11 UTC.
The tweets in the network were tweeted over the 703-day, 3-hour, 16-minute period from Tuesday, 30 March 2021 at 21:44 UTC to Saturday, 04 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 : 6521
Unique Edges : 4236
Edges With Duplicates : 11828
Total Edges : 16064
Number of Edge Types : 9
Retweet : 3591
MentionsInRetweet : 5413
MentionsInReplyTo : 4169
Replies to : 1548
Mentions : 278
Tweet : 760
Quote : 150
MentionsInQuote : 87
MentionsInQuoteReply : 68
Self-Loops : 939
Reciprocated Vertex Pair Ratio : 0.0288118013138181
Reciprocated Edge Ratio : 0.0560098577349614
Connected Components : 915
Single-Vertex Connected Components : 211
Maximum Vertices in a Connected Component : 3487
Maximum Edges in a Connected Component : 10266
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.027294
Graph Density : 0.000209963468661418
Modularity : 0.532977
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,521 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 13:11 UTC.
The tweets in the network were tweeted over the 703-day, 3-hour, 16-minute period from Tuesday, 30 March 2021 at 21:44 UTC to Saturday, 04 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:
[2489] big,pharma [661] drug,companies [656] plans,combine [656] shots,one [656] hell,bent [656] disaster,big [656] combine,covid [656] flu,shots [656] covid,flu [656] companies,hell Top Word Pairs in Tweet in G1:
[726] big,pharma [618] shots,one [618] companies,hell [618] flu,shots [618] hell,bent [618] combine,covid [618] one,drug [618] disaster,big [618] plans,combine [618] drug,companies Top Word Pairs in Tweet in G2:
[393] organic,food [392] people,organic [392] church,people [392] devout,church [391] weird,young [391] consider,little [391] amish,devout [391] little,weird [391] people,used [391] homeschoolers,amish Top Word Pairs in Tweet in G3:
[258] hi,johnlegend [256] fivetimesaugust,hi [149] charlieputh,pink [149] big,pharma [149] questlove,michaelphelps [149] pink,questlove [149] going,launching [149] johnlegend,marthastewart [149] marthastewart,charlieputh [149] launching,campaign Top Word Pairs in Tweet in G4:
[80] big,pharma [11] against,big [9] trial,against [9] gives,update [9] update,biggest [9] court,over [9] battling,pfizer [9] attorney,battling [9] vaccine,gives [9] biggest,trial Top Word Pairs in Tweet in G5:
[123] between,big [123] collusion,between [122] covid,years [121] human,tragedy [121] unmitigated,human [121] years,unmitigated [121] historians,write [121] honest,historians [121] write,covid [121] due,collusion Top Word Pairs in Tweet in G6:
[151] big,pharma [95] l'esclavagisme,big [95] route,vers [95] voilà,psychopathe [95] dévoile,route [95] psychopathe,ministre [95] santé,allemand [95] vers,l'esclavagisme [95] ah,bah [95] ministre,santé Top Word Pairs in Tweet in G7:
[115] decision,making [114] hand,over [114] making,funded [114] failings,think [114] miserable,cruel [114] cruel,failings [114] trying,hand [114] think,trying [114] over,decision [113] juneslater17,miserable Top Word Pairs in Tweet in G8:
[129] big,pharma [114] industrial,complex [114] military,industrial [113] shitty,msnbc [113] wall,st [113] bought,big [113] st,military [113] see,shitty [113] msnbc,gotten [113] gotten,bought Top Word Pairs in Tweet in G9:
[46] medicine,important [46] important,factor [46] 30,holistic [46] bankers,series [46] series,part [46] parts,video [46] video,series [46] factor,establishing [46] holistic,medicine [46] series,15 Top Word Pairs in Tweet in G10:
[32] ace2,receptor [32] know,re [32] muttering,arcane [32] leak,promoters [32] cleavage,site [32] arcane,jargon [32] promoters,muttering [32] furin,cleavage [32] hear,lab [32] site,ace2 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
Top Mentioned in G3:
Top Mentioned in G4:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: