The graph represents a network of 3,262 Twitter users whose recent tweets contained "bioinformatics", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 23:45 UTC.
The tweets in the network were tweeted over the 1093-day, 8-hour, 26-minute period from Thursday, 13 February 2020 at 16:26 UTC to Saturday, 11 February 2023 at 00:53 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3262
Unique Edges : 1623
Edges With Duplicates : 9214
Total Edges : 10837
Number of Edge Types : 9
Retweet : 3964
MentionsInRetweet : 4857
Mentions : 605
Tweet : 815
Quote : 64
Replies to : 200
MentionsInReplyTo : 279
MentionsInQuote : 49
MentionsInQuoteReply : 4
Self-Loops : 1061
Reciprocated Vertex Pair Ratio : 0.0226298237255836
Reciprocated Edge Ratio : 0.04425809457256
Connected Components : 292
Single-Vertex Connected Components : 128
Maximum Vertices in a Connected Component : 2546
Maximum Edges in a Connected Component : 9650
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.324327
Graph Density : 0.000403576744729107
Modularity : 0.361513
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,262 Twitter users whose recent tweets contained "bioinformatics", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 23:45 UTC.
The tweets in the network were tweeted over the 1093-day, 8-hour, 26-minute period from Thursday, 13 February 2020 at 16:26 UTC to Saturday, 11 February 2023 at 00:53 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : bioinformatics
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:
[575] #medtwitter,#meded [259] line,treatments [233] #meded,#medtwitter [217] treatments,#medtwitter [194] second,line [194] first,second [174] #medtwitter,#idtwitter [151] #meded,#idtwitter [148] #bioit,#bioinformatics [123] #usmle,#pharmatwitter Top Word Pairs in Tweet in G1:
[537] #medtwitter,#meded [251] line,treatments [213] #meded,#medtwitter [211] treatments,#medtwitter [185] second,line [185] first,second [167] #medtwitter,#idtwitter [140] #meded,#idtwitter [121] #usmle,#pharmatwitter [112] nice,#medtwitter Top Word Pairs in Tweet in G2:
[144] #bioit,#bioinformatics [65] seqcomplete,#bioit [50] national,laboratory [44] frederick,national [43] #bioinformatics,comment [40] deep,learning [35] #bioinformatics,#ai [33] machine,learning [32] #genomics,#bioinformatics [29] latest,rnomics Top Word Pairs in Tweet in G3:
[18] homework,assignment [18] class,homework [18] assignment,exam [18] online,class [18] expert,help [18] offer,online [18] exam,expert [11] architecture,landscape [11] physics,archaeology [11] help,applied Top Word Pairs in Tweet in G4:
[109] text,file [109] baisc,unix [109] mins,day [109] days,text [109] sed,commands [109] biologists,15 [109] day,12 [109] computational,biologists [109] 12,days [109] 15,mins Top Word Pairs in Tweet in G5:
[95] positions,labs [95] metagenomics,edna [95] happy,announce [95] announce,postdoc [95] igb,fields [95] fields,metagenomics [95] labs,igb [95] postdoc,position [95] position,phd [95] phd,positions Top Word Pairs in Tweet in G6:
[34] inborn,error [34] error,immunity [25] primary_immune,inborn [19] immunity,novel [17] #bioinformatics,#openscience [16] #openscience,#datascience [12] #datascience,#100daysofcode [12] determinants,predisposition [12] well,worth [12] predisposition,autoimmunity Top Word Pairs in Tweet in G7:
[45] gap,affine [45] alignment,space [45] optimal,gap [45] affine,alignment [44] lots,thanks [44] thanks,authors [44] space,published [44] online,bioinformatics [44] bioinformatics,lots [44] published,online Top Word Pairs in Tweet in G8:
[23] gene,expression [22] #scicomm,#news [22] age,dependent [22] sciencemagazine,#scicomm [22] expression,rhythms [22] dimorphic,age [22] rhythms,humans [22] sex,dimorphic [22] organization,24 [22] dependent,organization Top Word Pairs in Tweet in G9:
[25] akoiwang,friends [25] started,join [25] sure,started [25] friends,learn [25] interested,helminths [25] genomics,sure [25] join,akoiwang [25] helminths,genomics [24] stephenrdoyle,interested [19] kaen,university Top Word Pairs in Tweet in G10:
[26] boston,august [26] open,bioc2023 [26] bioc2023,conference [26] conference,boston [26] august,submit [26] submission,open [26] abstract,submission [25] women,good [25] professionals,women [25] edi,retrain Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
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: