The graph represents a network of 4,853 Twitter users whose tweets in the requested range contained "CRISPR", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 July 2019 at 23:55 UTC.
The requested start date was Tuesday, 16 July 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 5-day, 10-hour, 55-minute period from Wednesday, 10 July 2019 at 13:05 UTC to Tuesday, 16 July 2019 at 00:01 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 : 4853
Unique Edges : 5876
Edges With Duplicates : 1471
Total Edges : 7347
Number of Edge Types : 3
Tweet : 1668
Mentions : 5436
Replies to : 243
Self-Loops : 1668
Reciprocated Vertex Pair Ratio : 0.025226645644462
Reciprocated Edge Ratio : 0.0492118415993849
Connected Components : 1196
Single-Vertex Connected Components : 790
Maximum Vertices in a Connected Component : 2354
Maximum Edges in a Connected Component : 4244
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.79206
Graph Density : 0.000220922151654351
Modularity : 0.729139
NodeXL Version : 1.0.1.416
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[615] send,dna [615] dna,23andme [475] gene,editing [318] crispr,cas9 [312] don,t [307] broke,send [307] 23andme,deanonymizing [307] deanonymizing,relatives [307] relatives,descendants [307] descendants,woke Top Word Pairs in Tweet in G1:
[146] gene,editing [97] crispr,gene [85] deliver,crispr [83] crispr,cas9 [83] editing,tools [82] nanoparticles,deliver [77] molecular,scissors [75] rna,editing [74] crispr,less [74] less,molecular Top Word Pairs in Tweet in G2:
[613] send,dna [613] dna,23andme [306] broke,send [306] 23andme,deanonymizing [306] deanonymizing,relatives [306] relatives,descendants [306] descendants,woke [306] woke,don [306] don,t [306] t,send Top Word Pairs in Tweet in G3:
[76] new,#crispr [65] rna,editing [60] gene,editing [43] editing,tools [43] tools,cell [42] platform,expands [42] cell,much [42] much,higher [42] higher,efficiency [41] #crispr,system Top Word Pairs in Tweet in G4:
[72] estás,buscando [72] buscando,algún [72] algún,libro [72] libro,leer [72] leer,verano [72] verano,ponerte [72] ponerte,día [72] día,avances [72] avances,científicos [72] científicos,genética Top Word Pairs in Tweet in G5:
[28] #crispr,cas9 [21] more,efficient [21] efficient,#crispr [21] #crispr,tools [21] tools,future [21] future,computers [21] computers,made [21] made,#bacteria [21] #bacteria,another [21] another,big Top Word Pairs in Tweet in G6:
[141] احد,م [141] م,طوري [141] طوري,تقنيه [105] تقنيه,الكريسبر [104] الكريسبر,crispr [97] عالمه,الكيمياء [97] الكيمياء,الحيويه [97] الحيويه,جينفير [97] جينفير,دودنا [97] دودنا,'junnifer Top Word Pairs in Tweet in G7:
[93] gene,editing [93] eliminated,hiv [92] regimen,includes [92] includes,crispr [92] crispr,gene [92] editing,eliminated [92] hiv,bodies [92] bodies,mice [92] mice,infected [92] infected,virus Top Word Pairs in Tweet in G8:
[25] expanding,crispr [25] crispr,s [25] s,reach [25] reach,rna [25] rna,molecule [25] molecule,responsible [25] responsible,translating [25] translating,dna [25] dna,s [25] s,blueprints Top Word Pairs in Tweet in G9:
[29] innate,immune [17] #crispr,guide [15] researchers,uc [15] uc,berkeley [15] berkeley,discovered [15] discovered,cell [15] cell,s [15] s,innate [15] immune,system [15] system,affect Top Word Pairs in Tweet in G10:
[20] rna,editing [18] 狙ったrnaの配列を1塩基単位で変換する新手法,rnaを標的とするcrispr [18] rnaを標的とするcrispr,dcas13に [18] dcas13に,cをuに変換する活性を持つようにデザインした酵素を結合 [18] cをuに変換する活性を持つようにデザインした酵素を結合,という戦略 [18] という戦略,rna [18] editing,specific [18] specific,c [18] c,u [17] bio_stations,狙ったrnaの配列を1塩基単位で変換する新手法 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: