The graph represents a network of 15,577 Twitter users whose recent tweets contained "Biotech", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 03 August 2021 at 18:48 UTC.
The tweets in the network were tweeted over the 3-day, 7-hour, 14-minute period from Saturday, 31 July 2021 at 09:26 UTC to Tuesday, 03 August 2021 at 16:41 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 : 15577
Unique Edges : 20648
Edges With Duplicates : 7191
Total Edges : 27839
Number of Edge Types : 5
Retweet : 12230
MentionsInRetweet : 5417
Replies to : 1820
Tweet : 3992
Mentions : 4380
Self-Loops : 4114
Reciprocated Vertex Pair Ratio : 0.0137920879552371
Reciprocated Edge Ratio : 0.0272089082546599
Connected Components : 2276
Single-Vertex Connected Components : 1179
Maximum Vertices in a Connected Component : 9473
Maximum Edges in a Connected Component : 18806
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 5.987191
Graph Density : 8.51305503264117E-05
Modularity : 0.687412
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 15,577 Twitter users whose recent tweets contained "Biotech", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 03 August 2021 at 18:48 UTC.
The tweets in the network were tweeted over the 3-day, 7-hour, 14-minute period from Saturday, 31 July 2021 at 09:26 UTC to Tuesday, 03 August 2021 at 16:41 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 : TwitterSearch
Graph Term : Biotech
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:
[3551] bharat,biotech's [3284] sreenivasan,jain [3228] biotech's,covaxin [3202] ndtv's,sreenivasan [2931] effective,against [2912] against,delta [2874] delta,plus [2873] covaxin,effective [2852] plus,variant [2794] medical,research Top Word Pairs in Tweet in G1:
[2360] sreenivasan,jain [2319] ndtv's,sreenivasan [1637] mischief,create [1605] jain,played [1605] played,mischief [1605] create,panic [1605] panic,regarding [1605] regarding,covaxin [1605] covaxin,efficacy [963] bharat,biotech's Top Word Pairs in Tweet in G2:
[1833] bharat,biotech's [1826] biotech's,covaxin [1768] covaxin,effective [1768] effective,against [1768] against,delta [1751] delta,plus [1751] plus,variant [1751] indian,council [1751] council,medical [1751] medical,research Top Word Pairs in Tweet in G3:
[82] bharat,biotech [80] windlas,biotech [71] covid,19 [62] translate,bio [38] bharat,biotech's [36] pharmaceutical,biotech [36] bcbn,feed [36] news,boston [36] #boston,#biotech [35] boston,cambridge Top Word Pairs in Tweet in G4:
[695] lots,buzz [695] buzz,aaa [695] aaa,moonrabbitaz [695] moonrabbitaz,imho [695] imho,#aaa [695] #aaa,next [695] next,hype [695] hype,here's [695] here's,fair [695] fair,#parachain Top Word Pairs in Tweet in G5:
[237] #strategy,#competitiveintelligence [237] #competitiveintelligence,#marketing [188] #pharmaceutical,#biotech [140] #todaysmedicalupdate,#medicine [140] #medicine,#health [140] #health,#patients [140] #patients,#nhs [140] #nhs,#fmrevolution [140] #fmrevolution,#today [140] #today,#insurance Top Word Pairs in Tweet in G6:
[30] more,stories [22] covid,19 [20] lateral,flow [20] orient,gene [20] gene,biotech [19] learn,more [15] nasal,spray [14] nitric,oxide [14] worth,noting [14] noting,dhsc's Top Word Pairs in Tweet in G7:
[504] sreenivasan,jain [476] ndtv's,sreenivasan [450] mischief,create [445] played,mischief [445] create,panic [445] panic,regarding [445] regarding,covaxin [445] covaxin,efficacy [438] jain,played [331] efficacy,shocking Top Word Pairs in Tweet in G8:
[603] covaxin,effective [603] effective,against [603] against,delta [603] delta,plus [603] plus,variant [603] indian,council [603] council,medical [603] medical,research [549] bharat,biotech [489] variant,covid19 Top Word Pairs in Tweet in G9:
[104] bharat,biotech [76] against,delta [76] delta,plus [75] effective,against [75] plus,variant [71] covaxin,effective [70] bharat,biotech's [67] variant,covid [61] biotech's,covaxin [55] covid,19 Top Word Pairs in Tweet in G10:
[74] kaiyon,biotech [40] mind,med [28] 10,19 [28] 19,million [28] million,dtc [27] hello,pvsp [27] pvsp,shareholders [27] shareholders,kaiyon [25] biotech,adding [25] adding,canadian Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G8:
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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: