The graph represents a network of 8,818 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 April 2021 at 11:57 UTC.
The requested start date was Saturday, 10 April 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, 43-minute period from Wednesday, 07 April 2021 at 10:38 UTC to Friday, 09 April 2021 at 12:22 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 : 8818
Unique Edges : 5638
Edges With Duplicates : 10941
Total Edges : 16579
Number of Edge Types : 5
Retweet : 4513
MentionsInRetweet : 5453
Replies to : 1722
Mentions : 3318
Tweet : 1573
Self-Loops : 1629
Reciprocated Vertex Pair Ratio : 0.0230693178073163
Reciprocated Edge Ratio : 0.0450982497584022
Connected Components : 1673
Single-Vertex Connected Components : 565
Maximum Vertices in a Connected Component : 1986
Maximum Edges in a Connected Component : 4497
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 5.84244
Graph Density : 0.000119783960309052
Modularity : 0.563841
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,818 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 April 2021 at 11:57 UTC.
The requested start date was Saturday, 10 April 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, 43-minute period from Wednesday, 07 April 2021 at 10:38 UTC to Friday, 09 April 2021 at 12:22 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:
[1541] big,pharma [1309] part,time [1309] rahul,gandhi [1309] lobbied,fighter [1309] fighter,plane [1304] full,time [1303] failing,part [1303] time,politician [1303] switched,full [1303] time,lobbying Top Word Pairs in Tweet in G1:
[1081] failing,part [1081] part,time [1081] time,politician [1081] politician,rahul [1081] rahul,gandhi [1081] gandhi,switched [1081] switched,full [1081] full,time [1081] time,lobbying [1081] lobbied,fighter Top Word Pairs in Tweet in G2:
[159] big,pharma [130] #jobs,#pharma [106] #pharma,#hiringnow [106] #hiringnow,#pharmiweb [24] pharma,companies [23] #pharma,#hiring [22] syneos,health [19] barrington,james [19] james,#jobs [18] home,based Top Word Pairs in Tweet in G3:
[335] pharma,companies [221] made,india [216] modi,hater [216] hater,paid [216] paid,goons [216] goons,pharma [216] companies,spreading [216] spreading,fake [216] fake,news [216] news,made Top Word Pairs in Tweet in G4:
[225] dna,vector [220] vector,vaccines [119] astra,zeneca [114] vaccines,astra [114] zeneca,jansen [114] jansen,pharma [106] borgerpieter,dna [105] pharma,russian [105] russian,sputnik [105] sputnik,dna Top Word Pairs in Tweet in G5:
[98] end,fundamental [98] fundamental,human [98] human,rights [98] rights,ireland [98] ireland,sacred [98] sacred,inalienable [98] inalienable,freedoms [98] freedoms,fought [98] fought,died [98] died,over Top Word Pairs in Tweet in G6:
[181] rahul,gandhi [181] lobbied,fighter [181] fighter,plane [173] failing,part [173] part,time [173] time,politician [173] politician,rahul [173] gandhi,switched [173] switched,full [173] full,time Top Word Pairs in Tweet in G7:
[26] non,availability [26] availability,remedesivir [26] remedesivir,drug [26] drug,raised [26] raised,#nppa [26] #nppa,theae [26] theae,ways [26] ways,toll [26] toll,free [26] free,number Top Word Pairs in Tweet in G8:
[151] contrast,59 [151] 59,countries [151] countries,authorized [151] authorized,#sputnikv [151] #sputnikv,organized [151] organized,media [151] media,campaign [151] campaign,eu [151] eu,daily [151] daily,attacking Top Word Pairs in Tweet in G9:
[114] yunus_centre,annielennox [113] sharonstone,forestwhitaker [113] forestwhitaker,yemialadee [111] yemialadee,itspetergabriel [87] big,pharma [86] annielennox,deespeak [86] deespeak,sharonstone [83] george,clooney [83] clooney,yunus_centre [81] joined,george Top Word Pairs in Tweet in G10:
[12] big,pharma [12] pharma,company [10] maybe,davesharma [10] davesharma,clarify [10] clarify,pharma [10] company,accidentally [10] accidentally,bought [10] bought,shares [10] shares,csl [10] csl,dave Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 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: