The graph represents a network of 3,071 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 23:45 UTC.
The tweets in the network were tweeted over the 1467-day, 11-hour, 18-minute period from Monday, 24 December 2018 at 13:39 UTC to Saturday, 31 December 2022 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 : 3071
Unique Edges : 1140
Edges With Duplicates : 8899
Total Edges : 10039
Number of Edge Types : 9
Replies to : 190
MentionsInReplyTo : 225
Retweet : 3854
MentionsInRetweet : 4243
Mentions : 493
Tweet : 944
Quote : 39
MentionsInQuote : 38
MentionsInQuoteReply : 13
Self-Loops : 1126
Reciprocated Vertex Pair Ratio : 0.0153383458646617
Reciprocated Edge Ratio : 0.0302132701421801
Connected Components : 329
Single-Vertex Connected Components : 187
Maximum Vertices in a Connected Component : 2336
Maximum Edges in a Connected Component : 8872
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.987611
Graph Density : 0.000358083447444148
Modularity : 0.314644
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,071 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 23:45 UTC.
The tweets in the network were tweeted over the 1467-day, 11-hour, 18-minute period from Monday, 24 December 2018 at 13:39 UTC to Saturday, 31 December 2022 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:
[214] #medtwitter,#meded [189] #clinical,#clinicalpearl [188] #bioit,#bioinformatics [179] cardiogenic,shock [173] infarction,review [173] myocardial,infarction [173] shock,acute [173] acute,myocardial [173] #meded,#medtwitter [171] apothera,cardiogenic Top Word Pairs in Tweet in G1:
[199] #medtwitter,#meded [183] #clinical,#clinicalpearl [173] cardiogenic,shock [168] shock,acute [168] acute,myocardial [168] myocardial,infarction [168] infarction,review [166] apothera,cardiogenic [164] #meded,#medtwitter [149] #clinicalpearl,#bioinformatics Top Word Pairs in Tweet in G2:
[22] deep,learning [17] machine,learning [16] learning,architectures [16] recent,ones [16] ones,explanation [16] range,deep [16] implementation,wide [16] architectures,including [16] more,recent [16] wide,range Top Word Pairs in Tweet in G3:
[9] bioinformatics,analysis [8] bioinformatics,practical [6] practical,guide [6] computational,biology [6] software,developer [6] international,conference [6] biological,data [5] bioinformatics,programming [5] python,practical [5] genes,proteins Top Word Pairs in Tweet in G4:
[43] #bioit,#bioinformatics [42] seqcomplete,#bioit [31] daily,thanks [29] latest,rnomics [21] #paper,thanks [19] #bioinformatics,#datavisualization [19] #datascience,#programmer [19] #datavisualization,#datascience [19] #programmer,#programming [18] #bioinformatics,#bioit Top Word Pairs in Tweet in G5:
[143] #bioit,#bioinformatics [57] national,laboratory [42] frederick,national [27] #bioinformatics,comment [27] #genomics,#bioinformatics [27] mass,spectrometry [21] please,visit [21] interested,please [19] computational,biology [19] metwareglobal,hiring Top Word Pairs in Tweet in G6:
[49] viewer,igv [49] genomics,viewer [49] implementation,integrative [49] integrative,genomics [49] igv,js [49] embeddable,javascript [49] js,embeddable [49] javascript,implementation [47] razoralign,igv [34] live,coding Top Word Pairs in Tweet in G7:
[43] bioinformatics,paper [43] tool,combines [43] present,novel [43] metagenomic,profiling [43] profiling,tool [43] kmcp,bioinformatics [43] combines,mer [43] mer,based [43] based,metagenomic [43] paper,present Top Word Pairs in Tweet in G8:
[37] international,#bioinformatics [37] data,science [37] science,python [37] month,international [37] registration,open [37] open,one [37] one,month [37] lifedecode,data [37] workshop,lifedecode [37] #bioinformatics,workshop Top Word Pairs in Tweet in G9:
[29] error,immunity [29] inborn,error [22] primary_immune,inborn [16] crohn's,clues [16] clues,suggesting [16] pathological,hallmark [16] cell,subset [16] subset,pathological [16] hallmark,cd [16] accumulation,cell Top Word Pairs in Tweet in G10:
[31] hi,friends [30] #bioinformatics,tutorial [30] 16s,microbial [30] tutorial,16s [30] data,analysis [30] microbial,data [30] friends,#bioinformatics [30] analysis,enjoy [29] informatician3,hi [10] biocode,offering Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: