The graph represents a network of 4,669 Twitter users whose tweets in the requested range contained "bioinformatics", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 17 December 2022 at 23:54 UTC.
The requested start date was Saturday, 17 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 9-day, 10-hour, 49-minute period from Wednesday, 07 December 2022 at 13:25 UTC to Saturday, 17 December 2022 at 00:14 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 4669
Unique Edges : 2973
Edges With Duplicates : 12313
Total Edges : 15286
Number of Edge Types : 5
Retweet : 5435
MentionsInRetweet : 6791
Tweet : 1695
Mentions : 1165
Replies to : 200
Self-Loops : 1762
Reciprocated Vertex Pair Ratio : 0.0248477075985893
Reciprocated Edge Ratio : 0.0484905365243235
Connected Components : 556
Single-Vertex Connected Components : 283
Maximum Vertices in a Connected Component : 3347
Maximum Edges in a Connected Component : 13495
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.69825
Graph Density : 0.000293325610422846
Modularity : 0.379174
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,669 Twitter users whose tweets in the requested range contained "bioinformatics", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 17 December 2022 at 23:54 UTC.
The requested start date was Saturday, 17 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 9-day, 10-hour, 49-minute period from Wednesday, 07 December 2022 at 13:25 UTC to Saturday, 17 December 2022 at 00:14 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[301] #bioit,#bioinformatics [190] machine,learning [164] bioinformatics,marine [164] ecology,edna [164] edna,monitoring [164] vertebrates,polar [164] monitoring,vertebrates [164] phd,opportunity [164] marine,ecology [145] opportunity,bioinformatics Top Word Pairs in Tweet in G1:
[129] #bioit,#bioinformatics [129] seqcomplete,#bioit [92] national,laboratory [81] frederick,national [50] machine,learning [39] #bioinformatics,comment [33] computational,biology [28] published,thank [28] fluid,dynamics [28] dynamics,published Top Word Pairs in Tweet in G2:
[99] deep,learning [93] machine,learning [77] daily,digest [77] biodecoded,daily [73] digest,december [69] nature,communications [62] biodecoded,biodecoded [52] #bioinformatics,scientists [51] december,2022 [49] #chemistry,#bioinformatics Top Word Pairs in Tweet in G3:
[24] ø,ø [14] #biotech,#jobs [12] #newyork,ny [12] san,diego [12] data,bioinformatics [12] ø,ù [11] rockefeller,university [11] ù,ø [10] bioinformatics,scientist [10] bioinformatics,analysis Top Word Pairs in Tweet in G4:
[157] marine,ecology [157] vertebrates,polar [157] bioinformatics,marine [157] monitoring,vertebrates [157] edna,monitoring [157] ecology,edna [157] phd,opportunity [137] opportunity,bioinformatics [123] seaspray500,phd [89] polar,systemsðÿ Top Word Pairs in Tweet in G5:
[27] workshop,folks [27] focused,schools [27] bioinformatics,undergrad [27] folks,teach [27] organizing,small [27] schools,portland [27] undergrad,focused [27] teach,compbio [27] small,workshop [27] compbio,bioinformatics Top Word Pairs in Tweet in G6:
[58] status,epilepticus [53] tranexamic,acid [51] #obgyntwitter,#orthotwitter [36] gram,negative [36] negative,infections [36] infections,#idtwitter [31] #orthotwitter,#pharmacology [30] #foamed,#foamcc [30] #pharmacology,#twitterx [29] #twitterx,#cardiotwitter Top Word Pairs in Tweet in G7:
[104] taught,education [104] source,society [104] self,taught [104] education,bioinformatics [104] free,self [104] university,path [104] open,source [104] path,free [104] society,university [103] tangming2005,open Top Word Pairs in Tweet in G8:
[47] release,first [47] video,#tutorials [47] thrilled,release [47] #tehub,video [47] first,collection [47] featuring,#bioinformatics [47] collection,#tehub [47] #tutorials,featuring [47] #bioinformatics,tools [47] today,thrilled Top Word Pairs in Tweet in G9:
[36] amplify,recruitment [36] followers,hope [36] offer,fully [36] recruitment,call [36] hope,help [36] more,1000 [36] fully,funded [36] call,offer [36] 1000,followers [36] help,amplify Top Word Pairs in Tweet in G10:
[50] soon,recruiting [50] approx,year [50] postdoc,approx [50] year,appointment [50] subsoil,agricultural [50] appointment,work [50] recruiting,postdoc [50] work,#fungi [50] #fungi,subsoil [49] mrillig,soon Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: