The graph represents a network of 9,484 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, 30 October 2021 at 11:58 UTC.
The requested start date was Saturday, 30 October 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, 13-minute period from Wednesday, 27 October 2021 at 10:00 UTC to Friday, 29 October 2021 at 11:14 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 : 9484
Unique Edges : 6037
Edges With Duplicates : 10286
Total Edges : 16323
Number of Edge Types : 5
Retweet : 4511
MentionsInRetweet : 6126
Replies to : 1756
Tweet : 1658
Mentions : 2272
Self-Loops : 1708
Reciprocated Vertex Pair Ratio : 0.0139475908706678
Reciprocated Edge Ratio : 0.027511463109629
Connected Components : 1939
Single-Vertex Connected Components : 692
Maximum Vertices in a Connected Component : 3650
Maximum Edges in a Connected Component : 8394
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 11.249012
Graph Density : 0.00010669718054813
Modularity : 0.605413
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,484 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, 30 October 2021 at 11:58 UTC.
The requested start date was Saturday, 30 October 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, 13-minute period from Wednesday, 27 October 2021 at 10:00 UTC to Friday, 29 October 2021 at 11:14 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:
[2868] big,pharma [402] fossil,fuel [384] fuel,industry [363] going,sell [363] sell,district [363] district,bill [363] bill,written [363] written,fossil [363] industry,championed [363] championed,two Top Word Pairs in Tweet in G1:
[210] big,pharma [22] #jobs,#pharma [21] #pharma,#hiring [17] sa,pharma [16] pharma,companies [11] nifty,pharma [10] pharma,industry [10] pharma,big [10] #pharma,#biotech [9] ajanta,pharma Top Word Pairs in Tweet in G2:
[351] going,sell [351] sell,district [351] district,bill [351] bill,written [351] written,fossil [351] fossil,fuel [351] fuel,industry [351] industry,championed [351] championed,two [350] rashidatlaib,going Top Word Pairs in Tweet in G3:
[290] between,november [290] november,13th [290] saitama,big [289] 13th,saitama [259] big,pharma [232] packsaitamawolf,inusaitama [232] inusaitama,jose36661435 [231] saitamaguru1,packsaitamawolf [231] jose36661435,couple [231] couple,hints Top Word Pairs in Tweet in G4:
[345] breaking,overmedicated [345] overmedicated,population [345] population,major [345] major,public [345] public,health [345] health,crisis [345] crisis,epidemic [345] epidemic,misinformed [345] misinformed,doctors [345] doctors,misinformed Top Word Pairs in Tweet in G5:
[316] big,pharma [148] philippe,bas [128] sénateur,influent [128] influent,lr [128] lr,philippe [128] bas,très [128] très,lié [128] lié,big [128] pharma,rend [128] rend,leurs Top Word Pairs in Tweet in G6:
[97] big,pharma [55] kyrsten,sinema [55] sinema,acting [55] acting,pharma [55] pharma,ally [55] ally,seem [55] seem,very [55] very,mavericky [55] mavericky,yahoo [53] donwinslow,kyrsten Top Word Pairs in Tweet in G7:
[153] big,pharma [88] protect,precious [88] precious,innocent [88] innocent,young [88] young,children [88] children,belong [88] belong,big [88] pharma,world [88] world,government [88] government,complex Top Word Pairs in Tweet in G8:
[86] die,pharma [50] millionen,menschen [50] menschen,die [50] die,die [50] pharma,lüge [50] lüge,durchschaut [50] durchschaut,viele [50] viele,die [50] die,medien [50] medien,wollen Top Word Pairs in Tweet in G9:
[76] people,expressing [76] expressing,astonishment [76] astonishment,disgust [76] disgust,speed [76] speed,manner [76] manner,fda [76] fda,passed [76] passed,jabs [76] jabs,children [75] johnboweactor,people Top Word Pairs in Tweet in G10:
[8] bill,anderson [8] anderson,ceo [7] drug,discovery [6] innovation,access [6] access,one [6] one,meaningless [6] meaningless,without [6] without,bill [6] ceo,roche [6] roche,pharma Top Replied-To in Entire Graph:
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 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: