The graph represents a network of 4,949 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 April 2021 at 22:29 UTC.
The requested start date was Saturday, 17 April 2021 at 00:01 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 8-day, 14-hour, 10-minute period from Thursday, 08 April 2021 at 09:49 UTC to Friday, 16 April 2021 at 23:59 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 : 4949
Unique Edges : 3542
Edges With Duplicates : 12563
Total Edges : 16105
Number of Edge Types : 5
Retweet : 5616
MentionsInRetweet : 7584
Tweet : 1390
Mentions : 1260
Replies to : 255
Self-Loops : 1473
Reciprocated Vertex Pair Ratio : 0.0262237762237762
Reciprocated Edge Ratio : 0.0511073253833049
Connected Components : 582
Single-Vertex Connected Components : 285
Maximum Vertices in a Connected Component : 3537
Maximum Edges in a Connected Component : 14068
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.938386
Graph Density : 0.000311626447484634
Modularity : 0.398823
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,949 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 April 2021 at 22:29 UTC.
The requested start date was Saturday, 17 April 2021 at 00:01 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 8-day, 14-hour, 10-minute period from Thursday, 08 April 2021 at 09:49 UTC to Friday, 16 April 2021 at 23:59 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 [161] biology,bioinformatics [152] lot,bioinformatics [145] seqcomplete,#bioit [142] data,analysis [142] single,cell [139] molecular,biology [131] deep,learning [108] #bioinformatics,#openscience [107] data,science Top Word Pairs in Tweet in G1:
[298] #bioit,#bioinformatics [143] seqcomplete,#bioit [75] #bioinformatics,comment [51] data,analysis [45] woman,job [40] elixireurope,week [34] rna,seq [32] single,cell [32] life,sciences [31] seq,data Top Word Pairs in Tweet in G2:
[93] #bioinformatics,#openscience [84] deep,learning [69] molecular,biology [68] integrating,molecular [68] biology,bioinformatics [68] bioinformatics,education [68] education,#bioinformatics [67] andgenomics,integrating [67] #openscience,#datascie [63] learning,models Top Word Pairs in Tweet in G3:
[92] fungal,data [92] data,analyse [92] analyse,lot [92] lot,bioinformatics [92] bioinformatics,experience [92] experience,leibnizhki [92] leibnizhki,proudly [92] proudly,announces [91] frau_dr_barber,fungal [91] announces,use Top Word Pairs in Tweet in G4:
[18] #genomics,#bioinformatics [17] paper,#bioinformatics [14] network,based [14] dokyoon_kim,paper [13] precision,medicine [13] #bioinformatics,multi [13] multi,layered [13] layered,network [13] based,pathway [13] pathway,activity Top Word Pairs in Tweet in G5:
[55] thermo,fisher [54] fisher,scientific [43] bioinformatics,software [39] software,engineer [35] link,bio [25] bioinformatics,scientist [23] click,link [14] see,latest [13] bioinformatics,analysis [13] engineer,thermo Top Word Pairs in Tweet in G6:
[26] #r4bioinfo,workshop [26] workshop,using [26] using,#tidyverse [26] #tidyverse,#genomics [26] #genomics,more [26] more,details [21] bionero,one [21] one,bioconductor [21] bioconductor,package [21] package,comprehensive Top Word Pairs in Tweet in G7:
[47] lots,exciting [47] exciting,career [47] career,opportunities [47] opportunities,wehi_research [47] wehi_research,bioinformatics [47] bioinformatics,wet [47] wet,lab [47] lab,research [47] research,assistant [47] assistant,officer Top Word Pairs in Tweet in G8:
[27] bioinformatics,scientist [27] scientist,position [27] position,opening [27] opening,san [27] san,diego [27] diego,come [27] come,help [27] help,innovate [27] innovate,bulk [27] bulk,single Top Word Pairs in Tweet in G9:
[27] machine,learning [22] two,doc [22] doc,positions [22] positions,#metabolomics [22] #metabolomics,#exposome [22] #exposome,#biostatistics [22] #biostatistics,#epidemiology [22] #epidemiology,#bioinformatics [22] #bioinformatics,sinai [22] looking,bioinformatics Top Word Pairs in Tweet in G10:
[43] phd,position [43] looking,fill [43] fill,bioinformatics [43] bioinformatics,staff [43] staff,position [43] position,griffith [43] griffith,lab [43] lab,washington [43] washington,university [43] university,school Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: