The graph represents a network of 9,121 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, 09 July 2022 at 12:18 UTC.
The requested start date was Saturday, 09 July 2022 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, 18-minute period from Wednesday, 06 July 2022 at 09:55 UTC to Friday, 08 July 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 : 9121
Unique Edges : 5581
Edges With Duplicates : 10683
Total Edges : 16264
Number of Edge Types : 5
MentionsInRetweet : 5829
Replies to : 1628
Retweet : 4613
Mentions : 2540
Tweet : 1654
Self-Loops : 1683
Reciprocated Vertex Pair Ratio : 0.0147524860670965
Reciprocated Edge Ratio : 0.0290760284298945
Connected Components : 1689
Single-Vertex Connected Components : 589
Maximum Vertices in a Connected Component : 1929
Maximum Edges in a Connected Component : 3809
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 6.861581
Graph Density : 0.000111632688782586
Modularity : 0.584452
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,121 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, 09 July 2022 at 12:18 UTC.
The requested start date was Saturday, 09 July 2022 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, 18-minute period from Wednesday, 06 July 2022 at 09:55 UTC to Friday, 08 July 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:
[2506] big,pharma [1745] congress,action [1740] buys,congress [875] oil,industry [868] nra,buys [868] action,guns [867] insurance,companies [866] guns,oil [863] industry,buys [863] action,climate Top Word Pairs in Tweet in G1:
[1679] congress,action [1678] buys,congress [837] nra,buys [837] action,guns [837] guns,oil [837] oil,industry [837] industry,buys [837] action,climate [836] climate,insurance [836] insurance,companies Top Word Pairs in Tweet in G2:
[129] big,pharma [22] #jobs,#pharma [21] pcd,pharma [21] pharma,franchise [20] 常備しておくと安心,amazon限定ブランド [20] #pharma,#hiring [17] pharma,choice [13] pharma,companies [13] know,more [11] nifty,pharma Top Word Pairs in Tweet in G3:
[242] big,pharma [234] rand,paul [234] paul,bought [234] bought,paid [234] paid,big [234] big,oil [234] oil,big [234] pharma,gun [234] gun,lobby [234] lobby,refuse Top Word Pairs in Tweet in G4:
[229] uruguayan,government [229] government,officials [229] officials,pfizer [229] pfizer,ordered [229] ordered,appear [229] appear,court [229] court,wednesday [229] wednesday,provide [229] provide,documents [229] documents,review Top Word Pairs in Tweet in G5:
[349] big,pharma [332] gavin,newsom [332] price,insulin [326] huge,gavin [326] newsom,announced [326] announced,order [326] order,combat [326] combat,high [326] high,price [326] insulin,charged Top Word Pairs in Tweet in G6:
[159] zwei,damen [159] damen,bieten [159] bieten,mehr [159] mehr,kompetenz [159] kompetenz,die [159] die,gesamte [159] gesamte,#bureg [159] #bureg,zudem [159] zudem,representieren [159] representieren,deutsche Top Word Pairs in Tweet in G7:
[146] big,pharma [84] 11,juillet [84] juillet,noms [84] noms,parlementaires [84] parlementaires,main [84] main,big [84] pharma,seront [84] seront,connus [84] connus,tous [83] benoitboullay,11 Top Word Pairs in Tweet in G8:
[104] hart,member [104] member,dr [104] dr,ros [104] ros,jones [104] jones,maidmentros [104] maidmentros,78 [104] 78,healthcare [104] healthcare,professionals [104] professionals,answers [104] answers,regulators Top Word Pairs in Tweet in G9:
[15] amine_umlil,ordre_pharma [13] oss117_helsinki,mediapart [13] mediapart,ordre_medecins [13] ordre_medecins,ordre_pharma [13] pharma_anepf,maxime_anepf [12] maxime_anepf,numan_bahroun [11] big,pharma [11] ministère,sup_recherche [11] sup_recherche,pharma_anepf [11] numan_bahroun,présentation Top Word Pairs in Tweet in G10:
[10] science,totally [10] totally,co [10] co,opted [10] opted,corrupted [10] corrupted,financial [10] financial,interests [10] interests,pharma [10] pharma,controls [10] controls,information [10] information,gets 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:
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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:
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: