The graph represents a network of 9,155 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, 20 December 2020 at 13:12 UTC.
The requested start date was Saturday, 19 December 2020 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, 2-hour, 25-minute period from Wednesday, 16 December 2020 at 10:09 UTC to Friday, 18 December 2020 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 : 9155
Unique Edges : 6012
Edges With Duplicates : 9238
Total Edges : 15250
Number of Edge Types : 5
Tweet : 2202
Mentions : 2893
Retweet : 3662
MentionsInRetweet : 4602
Replies to : 1891
Self-Loops : 2260
Reciprocated Vertex Pair Ratio : 0.0230815709969789
Reciprocated Edge Ratio : 0.0451216631230806
Connected Components : 2230
Single-Vertex Connected Components : 924
Maximum Vertices in a Connected Component : 2953
Maximum Edges in a Connected Component : 6126
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 10.27781
Graph Density : 0.000101020382228384
Modularity : 0.58655
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,155 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, 20 December 2020 at 13:12 UTC.
The requested start date was Saturday, 19 December 2020 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, 2-hour, 25-minute period from Wednesday, 16 December 2020 at 10:09 UTC to Friday, 18 December 2020 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:
[1901] big,pharma [294] false,positive [292] risk,false [292] positive,results [291] states,elevated [291] elevated,risk [291] results,testing [289] more,pcr [289] pcr,fiasco [289] fiasco,states Top Word Pairs in Tweet in G1:
[183] big,pharma [55] covid,19 [37] #jobs,#pharma [36] fosun,pharma [34] purdue,pharma [32] #pharma,#hiring [27] sa,pharma [26] pharma,insider [25] vaccine,safety [25] found,dead Top Word Pairs in Tweet in G2:
[266] using,pcr [265] more,pcr [265] pcr,fiasco [265] fiasco,states [265] states,elevated [265] elevated,risk [265] risk,false [265] false,positive [265] positive,results [265] results,testing Top Word Pairs in Tweet in G3:
[144] big,pharma [129] pharma,suisse [129] suisse,fournit [129] fournit,chloroquine [129] chloroquine,gratuite [129] gratuite,géant [129] géant,novartis [129] novartis,l'entreprise [129] l'entreprise,mepha [129] mepha,suisse Top Word Pairs in Tweet in G4:
[92] brandy,vaughan [76] tot,aufgefunden [75] sohn,tot [73] pharma,whistleblowerin [73] whistleblowerin,brandy [73] vaughan,sohn [73] aufgefunden,dezember [73] dezember,2019 [73] 2019,gepostet [72] grund_gesetzt,pharma Top Word Pairs in Tweet in G5:
[52] big,pharma [33] follow,money [33] fda,issue [33] issue,eua [33] eua,experimental [33] experimental,vaccine [32] vaccine,therapy [32] therapy,exists [31] money,fda [26] exists,pretend Top Word Pairs in Tweet in G6:
[50] big,pharma [19] 'pharma','pharma' [11] usa,usa [10] 'china',made' [10] made',covid' [10] 'usa',pays [10] pays,'pharma' [10] 'pharma',makes [10] 'china',owns [10] owns,'pharma' Top Word Pairs in Tweet in G7:
[131] decision,death [131] death,sentence [131] sentence,hundreds [131] hundreds,thousands [131] thousands,people [131] people,enable [131] enable,pharma [131] pharma,corporations [130] jasonhickel,decision [130] corporations,profitee Top Word Pairs in Tweet in G8:
[84] heu,peut [84] peut,être [84] être,pro [84] pro,vaccin [84] vaccin,demander [84] demander,truc [84] truc,mis [84] mis,point [84] point,six [84] six,mois Top Word Pairs in Tweet in G9:
[13] l',anemf [12] anemf,pharma_anepf [11] pharma_anepf,ont [11] ont,challengé [11] challengé,leurs [11] leurs,réseaux [11] réseaux,étudiants [11] étudiants,#médecine [11] #médecine,#pharmacie [11] #pharmacie,hackathon Top Word Pairs in Tweet in G10:
[42] big,pharma [8] olivierveran,cavousf5 [8] cavousf5,drmartyufml [7] soumission,pression [7] pression,big [7] pharma,excellente [7] excellente,professeur [7] professeur,éric [7] éric,caumes [7] caumes,hôpital Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: