The graph represents a network of 9,246 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 Sunday, 28 February 2021 at 13:12 UTC.
The requested start date was Saturday, 27 February 2021 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, 1-hour, 10-minute period from Wednesday, 24 February 2021 at 11:25 UTC to Friday, 26 February 2021 at 12:35 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 : 9246
Unique Edges : 5837
Edges With Duplicates : 10609
Total Edges : 16446
Number of Edge Types : 5
Tweet : 1862
Mentions : 3066
Retweet : 4365
MentionsInRetweet : 5656
Replies to : 1497
Self-Loops : 1924
Reciprocated Vertex Pair Ratio : 0.0198660959279991
Reciprocated Edge Ratio : 0.038958243650452
Connected Components : 1875
Single-Vertex Connected Components : 747
Maximum Vertices in a Connected Component : 2536
Maximum Edges in a Connected Component : 5345
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 10.690994
Graph Density : 0.000108704718699633
Modularity : 0.586078
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 9,246 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 Sunday, 28 February 2021 at 13:12 UTC.
The requested start date was Saturday, 27 February 2021 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, 1-hour, 10-minute period from Wednesday, 24 February 2021 at 11:25 UTC to Friday, 26 February 2021 at 12:35 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:
[1826] big,pharma [837] one,dose [497] joe,manchin's [478] heather,bresch [477] bresch,raised [474] daughter,mylan [474] mylan,ceo [474] ceo,heather [474] raised,prices [474] prices,epipens Top Word Pairs in Tweet in G1:
[160] big,pharma [127] #jobs,#pharma [102] #pharma,#hiringnow [102] #hiringnow,#pharmiweb [35] covid,19 [35] 15,000 [26] namo,app [23] 000,crore [22] teijin,pharma [21] announces,rs Top Word Pairs in Tweet in G2:
[426] joe,manchin's [426] manchin's,daughter [426] daughter,mylan [426] mylan,ceo [426] ceo,heather [426] heather,bresch [426] bresch,raised [426] raised,prices [426] prices,epipens [426] epipens,400 Top Word Pairs in Tweet in G3:
[836] one,dose [418] getting,one [418] dose,pfizer [418] pfizer,one [418] dose,moderna [418] moderna,called [418] called,arnold [418] arnold,pharma [417] jeffisrael25,getting [3] big,pharma Top Word Pairs in Tweet in G4:
[78] graduating,time [78] time,great [78] great,appreciation [78] appreciation,respect [78] respect,indian [78] indian,medical [78] medical,professionals [78] professionals,scientists [75] pmoindia,graduating [75] scientists,pha Top Word Pairs in Tweet in G5:
[204] agenda,yahudi [204] yahudi,dah [204] dah,masuk [204] masuk,dalam [204] dalam,salur [204] salur,darah [204] darah,rakyat [204] rakyat,malaysia [204] malaysia,sekian [204] sekian,agent Top Word Pairs in Tweet in G6:
[48] big,pharma [42] pfizer,become [42] pharma,company [41] military,bases [40] #gravitas,pfizer [40] become,terror [40] terror,pharma [40] company,reportedly [40] reportedly,asking [40] asking,military Top Word Pairs in Tweet in G7:
[166] tanden,calling [165] joe,manchin [165] manchin,responding [165] responding,neera [165] neera,tanden [165] calling,daughter [165] daughter,price [165] price,gouging [165] gouging,epipen [165] epipen,prices Top Word Pairs in Tweet in G8:
[26] big,pharma [13] la_fage,face_06 [13] pharma_anepf,la_fnek [12] pass_las,vidalfrederique [12] vidalfrederique,emmanuelmacron [12] emmanuelmacron,anemf [12] anemf,olivierveran [12] olivierveran,la_fage [12] face_06,pharma_anepf [11] las_pass,pass_las Top Word Pairs in Tweet in G9:
[35] big,pharma [16] asymptomatic,transmission [16] transmission,toxic [16] toxic,idea [16] idea,seeded [16] seeded,ccp [16] ccp,swept [16] swept,vigour [16] vigour,pharma [16] pharma,incite Top Word Pairs in Tweet in G10:
[26] neera,tanden [25] joe,manchin's [23] big,pharma [23] criticized,joe [23] pharma,ceo [18] tanden,once [18] once,criticized [18] ceo,daughter [17] manchin's,pharma [14] joe,manchin 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 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: