The graph represents a network of 3,424 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 23:44 UTC.
The tweets in the network were tweeted over the 3715-day, 7-hour, 14-minute period from Sunday, 30 December 2012 at 17:44 UTC to Saturday, 04 March 2023 at 00:59 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 : 3424
Unique Edges : 2035
Edges With Duplicates : 8918
Total Edges : 10953
Number of Edge Types : 9
Retweet : 3772
MentionsInRetweet : 4730
MentionsInReplyTo : 376
Replies to : 280
Mentions : 699
Tweet : 928
Quote : 76
MentionsInQuote : 81
MentionsInQuoteReply : 11
Self-Loops : 1201
Reciprocated Vertex Pair Ratio : 0.0304299889746417
Reciprocated Edge Ratio : 0.0590627006205863
Connected Components : 343
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 2537
Maximum Edges in a Connected Component : 9522
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.334832
Graph Density : 0.000398708161666134
Modularity : 0.383135
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,424 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 23:44 UTC.
The tweets in the network were tweeted over the 3715-day, 7-hour, 14-minute period from Sunday, 30 December 2012 at 17:44 UTC to Saturday, 04 March 2023 at 00:59 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:
[258] learn,bioinformatics [253] years,ago [252] bioinformatics,10 [251] resources,learn [250] curated,ten [250] material,learn [250] little,online [250] started,curated [250] ago,started [250] 10,years Top Word Pairs in Tweet in G1:
[202] #bioit,#bioinformatics [104] seqcomplete,#bioit [73] national,laboratory [62] frederick,national [46] single,cell [46] #bioinformatics,comment [40] #genomics,#bioinformatics [32] multi,omics [28] #bioinformatics,#genomics [26] #bioinformatics,answer Top Word Pairs in Tweet in G2:
[230] learn,bioinformatics [229] years,ago [228] resources,learn [227] 10,years [227] ten,resources [227] online,material [227] started,curated [227] curated,ten [227] bioinformatics,10 [227] ago,started Top Word Pairs in Tweet in G3:
[163] #medtwitter,#meded [159] dose,regimens [136] #medtwitter,#bioinformatics [116] iv,dose [81] disease,management [70] treatments,#medtwitter [66] line,treatments [56] inflammatory,bowel [56] management,algorithm [56] algorithm,#medtwitter Top Word Pairs in Tweet in G4:
[23] assignment,help [12] bioinformatics,analysis [10] #biotech,#jobs [7] help,4p [7] homework,assignment [7] marketing,assignment [7] class,homework [7] computational,biology [7] 4p,marketing [7] assignment,exam Top Word Pairs in Tweet in G5:
[77] agc,method [77] method,compression [77] compression,storage [77] pangenome,data [77] published,bioinformatics [77] storage,pangenome [77] data,published [76] sdeorowicz,agc [10] bioinformatics,france [10] officially,tenured Top Word Pairs in Tweet in G6:
[124] fully,funded [96] positions,bioinformatics [89] funded,positions [86] biochemistry,plant [86] biology,biochemistry [86] plant,physiology [86] nine,phd [86] bioinformatics,entomology [86] molecular,biology [86] entomology,molecular Top Word Pairs in Tweet in G7:
[38] metabolites,fueling [38] understanding,ischemic [38] ischemic,heart [38] #bioinformatics,#metagenomics [38] related,metabolites [38] heart,disease [38] fueling,understanding [38] microbiota,related [38] disease,#bioinformatics [38] #metagenomics,#heart Top Word Pairs in Tweet in G8:
[16] dispones,habilidades [16] existen,algunas [16] sa,scientists [16] #transcriptómico,dispones [16] make,sa [16] análisis,#transcriptómico [16] leaders,genomics [16] trabajas,análisis [16] scientists,leaders [16] habilidades,#bioinformáticas Top Word Pairs in Tweet in G9:
[30] stimulus,submit [30] back,#bioinformatics [30] idea,needs [30] #bioinformatics,project [30] #biohackathon,europe [30] europe,back [30] project,idea [30] little,stimulus [30] needs,little [29] elixireurope,#biohackathon Top Word Pairs in Tweet in G10:
[22] conference,ghent [22] ghent,sep [22] 22,submit [22] #eurobioc2023,conference [22] sep,20 [22] open,#eurobioc2023 [22] 20,22 [22] submission,open [22] abstract,submission [21] visualise,complex Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
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: