The graph represents a network of 9,154 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 Saturday, 19 February 2022 at 12:59 UTC.
The requested start date was Saturday, 19 February 2022 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 2-day, 1-hour, 52-minute period from Wednesday, 16 February 2022 at 09:20 UTC to Friday, 18 February 2022 at 11:13 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 : 9154
Unique Edges : 6082
Edges With Duplicates : 10737
Total Edges : 16819
Number of Edge Types : 5
Retweet : 4597
MentionsInRetweet : 6039
Mentions : 2999
Tweet : 1780
Replies to : 1404
Self-Loops : 1854
Reciprocated Vertex Pair Ratio : 0.00992685475444096
Reciprocated Edge Ratio : 0.0196585618210036
Connected Components : 1961
Single-Vertex Connected Components : 822
Maximum Vertices in a Connected Component : 3701
Maximum Edges in a Connected Component : 9302
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 6.919849
Graph Density : 0.000115352626594226
Modularity : 0.590012
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,154 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 Saturday, 19 February 2022 at 12:59 UTC.
The requested start date was Saturday, 19 February 2022 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 2-day, 1-hour, 52-minute period from Wednesday, 16 February 2022 at 09:20 UTC to Friday, 18 February 2022 at 11:13 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:
[3238] big,pharma [693] officer,exposes [687] executive,officer [687] close,ties [682] exposes,close [681] breaking,part [681] part,ii [673] more,money [670] pharma,give [659] ii,us_fda Top Word Pairs in Tweet in G1:
[665] big,pharma [244] life,saving [243] pocket,support [243] support,life [243] saving,proposal [243] proposal,end [243] end,big [243] pharma,patent [243] patent,monopoly [242] german,government Top Word Pairs in Tweet in G2:
[738] big,pharma [645] breaking,part [645] part,ii [645] ii,us_fda [645] officer,exposes [645] exposes,close [645] close,ties [644] pharma,give [643] more,money [636] us_fda,executive Top Word Pairs in Tweet in G3:
[315] breaking,fda [315] fda,exposed [315] exposed,explicitly [315] explicitly,using [315] using,government [315] government,power [315] power,arrange [315] arrange,multi [315] multi,billion [315] billion,dollar Top Word Pairs in Tweet in G4:
[200] cour,suprême [199] suprême,états [199] états,unis [199] unis,statué [199] statué,l'agent [199] l'agent,pathogène [199] pathogène,covid [199] covid,n'est [199] n'est,vaccin [199] vaccin,qu'il Top Word Pairs in Tweet in G5:
[97] maximise,profits [97] profits,pay [97] pay,lawsuits [97] lawsuits,nothing [96] draseemmalhotra,maximise [73] big,pharma [47] funny,science [47] science,changes [47] changes,benefit [47] benefit,big Top Word Pairs in Tweet in G6:
[632] injustice,challenging [632] challenging,laws [631] laws,land [630] act,gross [630] gross,injustice [629] land,totally [629] totally,inhumane [624] inhumane,never [609] never,heard [574] pharma,industry Top Word Pairs in Tweet in G7:
[182] christopher,cole [180] amis,bombe [180] bombe,vient [180] vient,d'éclater [180] d'éclater,directeur [180] directeur,général [180] général,fda [180] fda,christopher [180] cole,avoue [180] avoue,approuver Top Word Pairs in Tweet in G8:
[63] mankind,pharma [54] pharma,#tatacruciblecontest [48] tata_crucible,mankind [40] #tatacrucible,tata_crucible [35] #tatacruciblecontest,#contest [25] #contest,#tatacrucible [24] tata_crucible,join [12] #tatacruciblecontest,#tatacrucible [12] #tatacruciblecontest,tata_crucible [11] #contest,#contestalert Top Word Pairs in Tweet in G9:
[166] big,pharma [148] pharma,effectively [148] effectively,owns [148] owns,country [148] country,point [148] point,congress [148] congress,stock [148] stock,trades [148] trades,campaign [148] campaign,donations Top Word Pairs in Tweet in G10:
[16] big,pharma [10] south,africa [8] pfizer,biontech_group [8] pharma,politicians [8] politicians,big [8] big,tech [8] tech,rich [8] rich,pandemic [8] pandemic,championing [8] championing,lockdowns Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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:
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Top Mentioned in G6:
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:
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Top Tweeters in G9:
Top Tweeters in G10: