The graph represents a network of 10,191 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, 28 November 2020 at 13:10 UTC.
The requested start date was Saturday, 28 November 2020 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, 14-minute period from Wednesday, 25 November 2020 at 22:15 UTC to Friday, 27 November 2020 at 23:29 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 : 10191
Unique Edges : 7656
Edges With Duplicates : 10509
Total Edges : 18165
Number of Edge Types : 5
Retweet : 4075
MentionsInRetweet : 5936
Replies to : 2104
Mentions : 4390
Tweet : 1660
Self-Loops : 1732
Reciprocated Vertex Pair Ratio : 0.0183908045977011
Reciprocated Edge Ratio : 0.036117381489842
Connected Components : 2127
Single-Vertex Connected Components : 880
Maximum Vertices in a Connected Component : 4065
Maximum Edges in a Connected Component : 9912
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.23876
Graph Density : 0.000106648008320759
Modularity : 0.620752
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 10,191 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, 28 November 2020 at 13:10 UTC.
The requested start date was Saturday, 28 November 2020 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, 14-minute period from Wednesday, 25 November 2020 at 22:15 UTC to Friday, 27 November 2020 at 23:29 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:
[3249] big,pharma [712] raised,price [710] never,forget [710] pharma,raised [710] price,insulin [710] one,four [709] forget,big [709] insulin,over [709] over,1200 [709] 1200,1990s Top Word Pairs in Tweet in G1:
[289] big,pharma [93] pharma,giants [92] governments,vote [92] plan,suspend [92] whole,world [92] make,sure [91] supply,few [91] few,rich [91] rich,countries [91] suspend,#patents Top Word Pairs in Tweet in G2:
[716] big,pharma [690] pharma,raised [689] never,forget [689] forget,big [689] raised,price [689] price,insulin [689] insulin,over [689] over,1200 [689] 1200,1990s [689] 1990s,one Top Word Pairs in Tweet in G3:
[544] big,pharma [523] prescription,drug [521] drug,prices [520] prices,high [520] high,big [520] pharma,pays [520] pays,campaigns [520] campaigns,washington [520] washington,insiders [520] insiders,kloeffler Top Word Pairs in Tweet in G4:
[68] big,pharma [16] pharma,companies [8] loudobbs,realdonaldtrump [8] big,tech [7] drsimonegold,media [7] media,governments [7] governments,pharma [7] companies,medical [7] medical,publications [7] publications,such Top Word Pairs in Tweet in G5:
[53] chronic,diseases [52] pharma,business [52] business,model [52] model,cause [52] cause,wide [52] wide,range [52] range,chronic [52] diseases,over [52] over,vaccination [52] vaccination,global Top Word Pairs in Tweet in G6:
[81] vaccine,production [74] domestic,vaccine [73] case,anyone [73] anyone,wondering [73] wondering,jewel [73] jewel,canada [73] canada,crown [73] crown,domestic [73] production,connaught [73] connaught,laboratories Top Word Pairs in Tweet in G7:
[65] chose,plus [65] plus,inquiétante [65] inquiétante,vaccin [65] vaccin,c'est [65] c'est,réponse [65] réponse,immune [65] immune,aujourd'hui [65] aujourd'hui,médecin [65] médecin,recommande [64] silvano_trotta,chose Top Word Pairs in Tweet in G8:
[15] big,pharma [9] green_cait,blaineillimatta [9] bobby_network,ale_battini [9] ale_battini,saji_nh [9] patricksavalle,carlsmythe [9] chris_f_carson,houseofrealnews [9] houseofrealnews,vilethepro [9] death_is_final,macbaird13 [9] geoffschuler,peterre76976220 [9] peterre76976220,katlarue7 Top Word Pairs in Tweet in G9:
[47] big,pharma [16] michelbarnier,davidghfrost [16] davidghfrost,jimbrunsden [16] jimbrunsden,borisjohnson [16] borisjohnson,remains [16] remains,clearly [16] clearly,both [16] both,sides [16] sides,interests [16] interests,deal Top Word Pairs in Tweet in G10:
[66] big,pharma [11] charliekirk11,big [10] plastics,glyphosate [9] charliekirk11,inexpensive [9] inexpensive,works [9] works,doesn [9] doesn,offer [9] offer,investment [9] investment,potential [9] politvidchannel,youth Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: