The graph represents a network of 3,978 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 23:44 UTC.
The tweets in the network were tweeted over the 426-day, 16-hour, 56-minute period from Saturday, 13 November 2021 at 08:00 UTC to Saturday, 14 January 2023 at 00:56 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 : 3978
Unique Edges : 1100
Edges With Duplicates : 9563
Total Edges : 10663
Number of Edge Types : 9
Quote : 35
MentionsInQuote : 49
Retweet : 4298
MentionsInRetweet : 4830
Tweet : 611
Replies to : 188
Mentions : 402
MentionsInReplyTo : 247
MentionsInQuoteReply : 3
Self-Loops : 790
Reciprocated Vertex Pair Ratio : 0.0157777777777778
Reciprocated Edge Ratio : 0.0310654123824109
Connected Components : 216
Single-Vertex Connected Components : 103
Maximum Vertices in a Connected Component : 3496
Maximum Edges in a Connected Component : 9870
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.107161
Graph Density : 0.000288928811758613
Modularity : 0.384553
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,978 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 23:44 UTC.
The tweets in the network were tweeted over the 426-day, 16-hour, 56-minute period from Saturday, 13 November 2021 at 08:00 UTC to Saturday, 14 January 2023 at 00:56 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:
[1961] machine,learning [1960] artificial,intelligence [1944] engineering,master [1942] software,engineering [1941] bachelor's,degree [1941] master,degree [1940] intelligence,machine [1940] degree,software [1940] degree,artificial [1940] filipe_mulonde,bachelor's Top Word Pairs in Tweet in G1:
[1938] currently,doi [1938] intelligence,machine [1938] artificial,intelligence [1938] bachelor's,degree [1938] degree,artificial [1938] machine,learning [1938] filipe_mulonde,bachelor's [1938] engineering,master [1938] software,engineering [1938] degree,software Top Word Pairs in Tweet in G2:
[91] #bioit,#bioinformatics [45] seqcomplete,#bioit [41] one,top [36] top,viewed [30] national,laboratory [30] #bioinformatics,comment [25] frederick,national [25] single,cell [21] deep,learning [21] long,read Top Word Pairs in Tweet in G3:
[347] #medtwitter,#meded [240] #meded,#medtwitter [127] cardiorenal,syndrome [81] #cardiology,#cardioed [80] apothera,management [80] apothera,cardiorenal [78] iron,deficiency [76] acute,kidney [76] kidney,injury [75] #medicalstudents,#bioinformatics Top Word Pairs in Tweet in G4:
[76] read,sequencing [76] long,read [70] advancements,unleash [70] full,potential [70] bioinformatics,advancements [70] potential,long [70] sequencing,various [70] genomics,comment [70] areas,genomics [70] various,areas Top Word Pairs in Tweet in G5:
[10] bioinformatics,analysis [6] machine,learning [5] director,bioinformatics [5] data,science [5] based,bioinformatics [4] architecture,landscape [4] #biotech,#jobs [4] conference,bioinformatics [4] class,homework [4] homework,assignment Top Word Pairs in Tweet in G6:
[64] crash,course [64] course,biologists [63] free,pdf [44] thank,supporting [44] biologists,proceeds [44] proceeds,support [44] version,future [44] work,see [44] future,work [44] support,free Top Word Pairs in Tweet in G7:
[39] #udemy,#bigdata [29] #bigdata,#bioinformatics [27] #programmer,#programming [27] #datascience,#programmer [27] #datavisualization,#datascience [27] #bioinformatics,#datavisualization [26] inborn,error [26] #programming,#ai [19] error,immunity [16] very,immunocompromised Top Word Pairs in Tweet in G8:
[26] exact,same [25] studies,asked [25] two,very [25] asked,exact [25] example,two [25] telling,example [25] #methodsmatter,telling [25] very,recent [25] recent,studies [25] same,cancer Top Word Pairs in Tweet in G9:
[66] proud,myself [66] note,submitting [66] thesis,edinburghuni [66] completing,mostly [66] high,note [66] edinburghuni,proud [66] 2023,high [66] myself,completing [66] started,2023 [66] submitting,thesis Top Word Pairs in Tweet in G10:
[20] #plants,#ecology [20] plant,species [20] modern,silk [20] #bioinformatics,#plants [20] silk,road [20] along,modern [20] east,#bioinformatics [20] road,east [20] diversity,along [20] determines,plant Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: