The graph represents a network of 9,336 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, 31 July 2021 at 12:11 UTC.
The requested start date was Saturday, 31 July 2021 at 00:01 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, 22-minute period from Wednesday, 28 July 2021 at 09:50 UTC to Friday, 30 July 2021 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 : 9336
Unique Edges : 5652
Edges With Duplicates : 10134
Total Edges : 15786
Number of Edge Types : 5
Tweet : 1905
Retweet : 4256
MentionsInRetweet : 5313
Replies to : 1821
Mentions : 2491
Self-Loops : 1969
Reciprocated Vertex Pair Ratio : 0.0203917050691244
Reciprocated Edge Ratio : 0.0399683865868804
Connected Components : 2035
Single-Vertex Connected Components : 745
Maximum Vertices in a Connected Component : 2486
Maximum Edges in a Connected Component : 5102
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 8.841227
Graph Density : 0.000101627555490688
Modularity : 0.586104
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 9,336 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, 31 July 2021 at 12:11 UTC.
The requested start date was Saturday, 31 July 2021 at 00:01 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, 22-minute period from Wednesday, 28 July 2021 at 09:50 UTC to Friday, 30 July 2021 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:
[2374] big,pharma [385] terapia,plasma [381] costa,poco [381] poco,funziona [381] funziona,benissimo [380] plasma,costa [380] benissimo,non [370] non,fa [369] io,sono [368] sono,medico Top Word Pairs in Tweet in G1:
[212] big,pharma [70] sun,pharma [27] wu,tang [24] #jobs,#pharma [24] #pharma,#hiring [20] tang,clan [19] pharma,firm [19] thyroid,drug [18] pharma,franchise [17] pcd,pharma Top Word Pairs in Tweet in G2:
[278] non,fa [275] terapia,plasma [275] plasma,costa [275] costa,poco [275] poco,funziona [275] funziona,benissimo [275] benissimo,non [275] fa,miliardari [275] miliardari,io [275] io,sono Top Word Pairs in Tweet in G3:
[151] mrna,vaccines [151] vaccines,far [151] far,highest [151] highest,annual [151] annual,selling [151] selling,profitable [151] profitable,product [147] case,didn [147] didn,notice [147] notice,mrna Top Word Pairs in Tweet in G4:
[153] drug,firm [153] firm,advanz [153] advanz,fined [153] fined,100m [153] 100m,increased [153] increased,price [153] price,thyroid [153] thyroid,tablets [153] tablets,20 [153] 20,248 Top Word Pairs in Tweet in G5:
[100] pharma,companies [99] thalidomide,removed [99] removed,use [99] use,british [99] british,press [99] press,put [99] put,pressure [99] pressure,pharma [99] companies,same [98] nicola1charles,thalidomide Top Word Pairs in Tweet in G6:
[183] pfizer,charging [183] charging,24 [183] 24,shot [183] shot,expect [183] expect,produce [183] produce,billion [183] billion,shots [183] shots,year [183] year,expect [183] expect,approval Top Word Pairs in Tweet in G7:
[130] sun,pharma [52] ebitda,margin [38] margin,pat [35] strong,rev [29] #q1withjst,#pharma [28] laurus,labs [27] labs,strong [27] rev,30 [27] 30,yoy [27] yoy,31 Top Word Pairs in Tweet in G8:
[6] drnancyolivieri,pharmalot [5] millions,people [5] people,lost [5] lost,lives [5] lives,waiting [5] waiting,such [5] such,desperately [5] desperately,needed [5] needed,action [5] doctorow,proftimnoakes Top Word Pairs in Tweet in G9:
[88] nasty,hateful [85] big,pharma [53] pharma,cultists [52] brainwashed,big [50] hateful,brainwashed [50] cultists,check [50] check,israeli [50] israeli,experiment [50] experiment,keep [50] keep,deluding Top Word Pairs in Tweet in G10:
[90] big,pharma [34] indagine,sulla [34] sulla,morte [34] morte,donno [34] donno,doverosa [34] doverosa,plasma [34] plasma,donno [34] donno,affare [34] affare,tra [34] tra,big Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: