The graph represents a network of 3,457 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 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 23:45 UTC.
The tweets in the network were tweeted over the 1842-day, 8-hour, 51-minute period from Thursday, 22 February 2018 at 16:06 UTC to Saturday, 11 March 2023 at 00:57 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 : 3457
Unique Edges : 2215
Edges With Duplicates : 8909
Total Edges : 11124
Number of Edge Types : 9
Retweet : 3665
MentionsInRetweet : 4786
Mentions : 736
Tweet : 1035
MentionsInQuote : 112
Replies to : 282
MentionsInReplyTo : 416
Quote : 86
MentionsInQuoteReply : 6
Self-Loops : 1321
Reciprocated Vertex Pair Ratio : 0.0308159722222222
Reciprocated Edge Ratio : 0.0597894736842105
Connected Components : 407
Single-Vertex Connected Components : 188
Maximum Vertices in a Connected Component : 2423
Maximum Edges in a Connected Component : 9313
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.569888
Graph Density : 0.000397576307867022
Modularity : 0.391514
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,457 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 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 23:45 UTC.
The tweets in the network were tweeted over the 1842-day, 8-hour, 51-minute period from Thursday, 22 February 2018 at 16:06 UTC to Saturday, 11 March 2023 at 00:57 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:
[249] #bioit,#bioinformatics [185] single,cell [167] rna,seq [134] cell,rna [125] seqcomplete,#bioit [122] wet,lab [120] week,#neuroscience [120] #spatial,transcriptome [120] resolution,#singlecell [120] #preprints,high Top Word Pairs in Tweet in G1:
[249] #bioit,#bioinformatics [125] seqcomplete,#bioit [85] national,laboratory [77] frederick,national [63] #bioinformatics,comment [52] #genomics,#bioinformatics [42] rna,seq [30] #bioinformatics,answer [29] latest,rnomics [27] deep,learning Top Word Pairs in Tweet in G2:
[67] publication,ready [67] ngenomesyn,easy [67] relationships,multiple [67] tool,publication [67] flexible,tool [67] syntenic,relationships [67] ready,visualization [67] visualization,syntenic [67] easy,use [67] use,flexible Top Word Pairs in Tweet in G3:
[45] assignment,help [14] #biotech,#jobs [14] offer,online [13] help,project [13] online,class [13] expert,help [13] help,4p [13] exam,expert [13] homework,assignment [13] class,homework Top Word Pairs in Tweet in G4:
[110] high,resolution [110] #singlecell,#spatial [110] historic,week [110] three,#preprints [110] #spatial,transcriptome [110] #preprints,high [110] resolution,#singlecell [110] week,#neuroscience [110] transcriptome,cell [110] #neuroscience,three Top Word Pairs in Tweet in G5:
[109] cell,rna [109] microbes,microseq [109] exciting,postdoc [109] postdoc,positions [109] microseq,one [109] wet,lab [109] available,center [109] single,cell [109] positions,available [109] center,single Top Word Pairs in Tweet in G6:
[72] early,october [72] october,2019 [69] september,early [65] sars,cov [64] cov,evolved [64] mid,september [64] places,progenitor [64] evolved,mid [64] progenitor,sars [63] mdc_martinus,places Top Word Pairs in Tweet in G7:
[106] dose,regimens [79] #medtwitter,#meded [53] #meded,#medtwitter [45] #medtwitter,#bioinformatics [45] iv,dose [30] alcohol,withdrawal [28] premedications,#medtwitter [27] #bioinformatics,#icu [27] #meded,#bioinformatics [26] regimens,premedications Top Word Pairs in Tweet in G8:
[63] research,associate [62] phd,level [62] position,kew [62] associate,phd [62] retweet,another [62] pls,retweet [62] looking,research [62] level,bioinformatics [62] another,position [62] bioinformatics,genomics Top Word Pairs in Tweet in G9:
[41] #metagenomics,work [41] #microbiome,#erc [41] #bioinformatics,#metagenomics [41] hiring,motivated [41] experience,#bioinformatics [41] strong,experience [41] work,#microbiome [41] motivated,#postdoc [41] #postdoc,strong [40] h_sokol,hiring Top Word Pairs in Tweet in G10:
[38] biodecoded,daily [38] digest,february [38] daily,digest [29] genome,biology [27] nature,communications [26] biodecoded,biodecoded [25] 2023,#bioinformatics [20] data,nature [16] february,24 [16] algorithm,detect Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Replied-To in G9:
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: