The graph represents a network of 9,460 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, 10 December 2022 at 13:20 UTC.
The requested start date was Saturday, 10 December 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, 2-hour, 33-minute period from Wednesday, 07 December 2022 at 08:40 UTC to Friday, 09 December 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 : 9460
Unique Edges : 6315
Edges With Duplicates : 9791
Total Edges : 16106
Number of Edge Types : 5
Retweet : 3901
MentionsInRetweet : 5095
Tweet : 1966
Replies to : 2011
Mentions : 3133
Self-Loops : 2015
Reciprocated Vertex Pair Ratio : 0.0149188718283785
Reciprocated Edge Ratio : 0.0293991416309013
Connected Components : 1891
Single-Vertex Connected Components : 753
Maximum Vertices in a Connected Component : 3945
Maximum Edges in a Connected Component : 7931
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.558277
Graph Density : 0.000104154862635158
Modularity : 0.59912
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 9,460 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, 10 December 2022 at 13:20 UTC.
The requested start date was Saturday, 10 December 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, 2-hour, 33-minute period from Wednesday, 07 December 2022 at 08:40 UTC to Friday, 09 December 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:
[1950] big,pharma [441] bill,gates [407] united,states [406] breaking,news [406] supreme,court [404] news,supreme [400] court,canceled [400] universal,vaccination [400] chief,infectious [400] gates,chief Top Word Pairs in Tweet in G1:
[117] big,pharma [70] 17,growth [70] market,demand [70] pharma,logs [70] logs,17 [70] nov,anti [70] growth,nov [70] drives,market [70] anti,infective [70] therapy,drives Top Word Pairs in Tweet in G2:
[374] supreme,court [373] chief,infectious [373] bill,gates [373] breaking,news [373] vaccination,united [373] court,canceled [373] canceled,universal [373] gates,chief [373] news,supreme [373] states,bill Top Word Pairs in Tweet in G3:
[231] starting,q1 [231] going,drop [231] shit,going [231] _aussie17,thread [231] going,hit [231] think,shit [231] drop,names [231] 2023,going [231] fan,starting [231] thread,think Top Word Pairs in Tweet in G4:
[95] big,pharma [27] gemmaod1,still [27] ireland,gemmaod1 [27] elonmusk,love [27] love,country [27] banned,elonmusk [27] journalist,ireland [27] retweeted,journalist [27] still,banned [26] country,bord Top Word Pairs in Tweet in G5:
[156] we've,along [156] nurseries,uk [156] along,coming [156] children,mass [156] uk,baby [156] schools,nurseries [156] antibiotics,schools [156] mass,antibiotics [156] coming,children [155] soniapoulton,we've Top Word Pairs in Tweet in G6:
[164] early,treatment [164] outrage',early [164] adopted,mar [164] 1000sof,lives [164] '20,saved [164] 100s,1000sof [164] mar,apr [164] apr,'20 [164] saved,100s [164] lives,dr Top Word Pairs in Tweet in G7:
[46] ordre_pharma,frcsbraun [38] drfranckclarot,ordre_pharma [25] pharmaciens,refusent [25] big,pharma [25] refusent,vacciner [24] personnes,rapportent [24] nombreuses,personnes [23] bonjour,ordre_pharma [23] vacciner,#covid19 [23] rapportent,pharmaciens Top Word Pairs in Tweet in G8:
[195] hospitales,concertados [195] concertados,aseguradoras [184] aseguradoras,'big [182] 'big,pharma' [181] iglesia,intentan [181] pharma',iglesia [181] intentan,frenar [178] nueva,ley [177] frenar,nueva [108] ley,sanitaria Top Word Pairs in Tweet in G9:
[40] big,pharma [13] lumière,etc [13] organisation,benefits [13] financially,human [13] secondes,gauche [13] best,description [13] monde,41 [13] 41,secondes [13] benefits,financially [13] guerriers,lumière Top Word Pairs in Tweet in G10:
[68] big,pharma [31] trying,make [29] desperately,trying [29] parents,baby [29] sound,parents [29] whores,desperately [29] baby,zealand [29] msm,big [29] make,sound [29] pharma,whores 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 G6:
Top Replied-To in G7:
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: