The graph represents a network of 3,442 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 23:45 UTC.
The tweets in the network were tweeted over the 481-day, 10-hour, 10-minute period from Sunday, 10 October 2021 at 14:45 UTC to Saturday, 04 February 2023 at 00:55 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 : 3442
Unique Edges : 1828
Edges With Duplicates : 9152
Total Edges : 10980
Number of Edge Types : 9
Tweet : 781
Replies to : 193
Retweet : 4033
MentionsInRetweet : 4962
Mentions : 658
MentionsInReplyTo : 235
Quote : 62
MentionsInQuote : 51
MentionsInQuoteReply : 5
Self-Loops : 978
Reciprocated Vertex Pair Ratio : 0.0203527815468114
Reciprocated Edge Ratio : 0.0398936170212766
Connected Components : 305
Single-Vertex Connected Components : 123
Maximum Vertices in a Connected Component : 2680
Maximum Edges in a Connected Component : 9716
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.516341
Graph Density : 0.000380954889773843
Modularity : 0.383636
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,442 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 23:45 UTC.
The tweets in the network were tweeted over the 481-day, 10-hour, 10-minute period from Sunday, 10 October 2021 at 14:45 UTC to Saturday, 04 February 2023 at 00:55 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:
[463] #meded,#medtwitter [452] #medtwitter,#meded [151] #meded,#internalmedicine [137] #bioit,#bioinformatics [127] declarative,library [127] genomics,visualization [127] visualization,python [127] library,interactive [127] interactive,genomics [127] gos,declarative Top Word Pairs in Tweet in G1:
[449] #meded,#medtwitter [431] #medtwitter,#meded [145] #meded,#internalmedicine [118] apothera,hypertension [114] #medtwitter,#pharmatwitter [112] apothera,acute [109] apothera,iv [108] fluid,therapy [108] iv,fluid [102] #neurotwitter,#medtwitter Top Word Pairs in Tweet in G2:
[137] #bioit,#bioinformatics [68] seqcomplete,#bioit [59] national,laboratory [50] frederick,national [45] #genomics,#bioinformatics [31] latest,rnomics [29] #bioinformatics,#genomics [25] #paper,thanks [25] #bioinformatics,comment [21] machine,learning Top Word Pairs in Tweet in G3:
[117] genomics,visualization [117] declarative,library [117] gos,declarative [117] library,interactive [117] visualization,python [117] interactive,genomics [116] razoralign,gos [91] package,visualization [91] visualization,interpretation [91] transcript,isoforms Top Word Pairs in Tweet in G4:
[17] 2023,more [17] conference,ghent [17] 22,september [17] 21,22 [17] eurobioc,2023 [17] #bioconductor,eurobioc [17] september,2023 [17] 20,21 [17] 2023,conference [17] belgium,20 Top Word Pairs in Tweet in G5:
[16] life,sciences [13] scientist,bioinformatics [13] bioinformatics,analysis [13] #biotech,#jobs [12] patent,agent [12] associate,patent [12] sciences,prosecution [12] patent,scientist [12] chemistry,life [12] bioinformatics,kilpatrick Top Word Pairs in Tweet in G6:
[108] dabble,bioinformatics [106] motherofphage,dabble [3] #exposomics,theme [3] reminded,working [3] big,coming [3] #canmetcon,sets [3] working,around [3] metabolomics,conference [3] sets,#exposomics [3] around,bioinformatics Top Word Pairs in Tweet in G7:
[83] doc,position [83] bioluw,funded [83] #opus,project [83] hiring,doc [83] ibe_warszawa,bioluw [83] position,team [83] funded,ncn_pl [83] ncn_pl,#opus [83] project,protist [83] team,ibe_warszawa Top Word Pairs in Tweet in G8:
[50] applications,open [44] training,single [44] cell,genomics [44] single,cell [44] open,training [30] instructors,partnership [30] genomics,amazing [30] team,instructors [30] amazing,team [29] partnership,nationa Top Word Pairs in Tweet in G9:
[48] bioinformaticians,#bioinformatics [45] ashvip2,beginners [35] beginners,bioinformaticians [35] #bioinformatics,#r [22] beginners,biologists [14] biologists,bioinformaticians [13] #biotech,#rprogramming [13] #bioinformatics,#biotechnology [13] #biotechnology,#biotech [10] line,ready Top Word Pairs in Tweet in G10:
[28] bacteria,eukaryotes [28] strategies,planktonic [28] algal,blooms [28] aggravated,algal [28] planktonic,bacteria [28] response,aggravated [28] eukaryotes,response [28] differentiation,strategies [28] blooms,urban [28] urban,lakes Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: