The graph represents a network of 9,546 Twitter users whose tweets in the requested range contained "Pharma", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 31 January 2021 at 13:11 UTC.
The requested start date was Saturday, 30 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 2-hour, 23-minute period from Saturday, 23 January 2021 at 10:11 UTC to Friday, 29 January 2021 at 12:35 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 : 9546
Unique Edges : 6701
Edges With Duplicates : 9714
Total Edges : 16415
Number of Edge Types : 5
Retweet : 3632
MentionsInRetweet : 4807
Replies to : 2273
Mentions : 3791
Tweet : 1912
Self-Loops : 1959
Reciprocated Vertex Pair Ratio : 0.0235920852359209
Reciprocated Edge Ratio : 0.0460966542750929
Connected Components : 2036
Single-Vertex Connected Components : 818
Maximum Vertices in a Connected Component : 3211
Maximum Edges in a Connected Component : 6971
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 10.654879
Graph Density : 0.000103329174923946
Modularity : 0.595546
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 9,546 Twitter users whose tweets in the requested range contained "Pharma", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 31 January 2021 at 13:11 UTC.
The requested start date was Saturday, 30 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 2-hour, 23-minute period from Saturday, 23 January 2021 at 10:11 UTC to Friday, 29 January 2021 at 12:35 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 : GraphServerTwitterSearch
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:
[1886] big,pharma [306] covid,19 [292] pharma,companies [258] non,eu [255] threat,block [254] block,export [254] vaccines,non [226] pharma,sources [224] 19,vaccine [223] sources,eu Top Word Pairs in Tweet in G1:
[166] big,pharma [113] #jobs,#pharma [93] safe,effective [92] way,end [92] end,#covid19 [92] #covid19,pandemic [92] pandemic,make [92] make,safe [92] effective,#vaccines [92] #vaccines,available Top Word Pairs in Tweet in G2:
[144] threat,block [144] block,export [144] vaccines,non [144] non,eu [140] pharma,sources [140] sources,eu [140] eu,carry [140] carry,threat [137] german,newspaper [137] newspaper,bild Top Word Pairs in Tweet in G3:
[90] pharma,companies [85] non,eu [84] threat,block [84] block,export [84] vaccines,non [82] export,vaccines [82] eu,pharma [76] big,pharma [59] pharma,sources [59] sources,eu Top Word Pairs in Tweet in G4:
[40] extra,dose [39] discovered,squeeze [39] squeeze,extra [39] dose,pfizer [39] pfizer,vaxx [39] vial,maybe [39] maybe,middle [36] pharmacists,discovered [36] vaxx,dose [36] dose,vial Top Word Pairs in Tweet in G5:
[29] pharma_jonpi,aemps [23] aemps,ccarballo50 [18] pharma_jonpi,ccarballo50 [18] ccarballo50,aemps [16] big,pharma [9] estrellademar63,pharma_jonpi [8] #promotekarnatakamedicalstudent,pharma [8] pharma,taken [8] taken,admission [8] admission,2019 Top Word Pairs in Tweet in G6:
[164] applaud,india [159] india,role [159] role,global [159] global,health [159] health,sharing [159] sharing,millions [159] millions,doses [159] doses,covid [159] covid,19 [159] 19,vaccine Top Word Pairs in Tweet in G7:
[39] heart,disease [35] hedge,funds [31] 2015,pharma [31] pharma,began [31] began,big [31] big,push [31] push,state [31] state,level [31] level,pass [31] pass,mandatory Top Word Pairs in Tweet in G8:
[85] big,pharma [47] taking,irreversible [47] irreversible,future [47] future,generations [47] generations,compromising [47] compromising,gene [47] gene,editing [47] editing,therapy [47] therapy,call [47] call,vaccine Top Word Pairs in Tweet in G9:
[88] big,pharma [67] sweetheart,deal [67] deal,govt [67] govt,big [67] pharma,works [67] works,don [67] don,test [67] test,pregnant [67] pregnant,women [67] women,later Top Word Pairs in Tweet in G10:
[55] frau,merkel [54] laut,herrn [54] herrn,dr [54] dr,fuellmich [54] fuellmich,telefoniert [54] telefoniert,frau [54] merkel,mind [54] mind,einmal [54] einmal,monat [54] monat,belinda Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: