The graph represents a network of 1,494 Twitter users whose recent tweets contained "#paediatrics OR #pediatrics", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 13 May 2020 at 11:27 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 51-minute period from Tuesday, 05 May 2020 at 02:11 UTC to Wednesday, 13 May 2020 at 11:03 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 : 1494
Unique Edges : 2041
Edges With Duplicates : 1066
Total Edges : 3107
Self-Loops : 779
Reciprocated Vertex Pair Ratio : 0.0192808754559666
Reciprocated Edge Ratio : 0.0378323108384458
Connected Components : 412
Single-Vertex Connected Components : 249
Maximum Vertices in a Connected Component : 569
Maximum Edges in a Connected Component : 1583
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.805089
Graph Density : 0.000876916910777739
Modularity : 0.643181
NodeXL Version : 1.0.1.432
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=226635
Data Import : The graph represents a network of 1,494 Twitter users whose recent tweets contained "#paediatrics OR #pediatrics", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 13 May 2020 at 11:27 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 51-minute period from Tuesday, 05 May 2020 at 02:11 UTC to Wednesday, 13 May 2020 at 11:03 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 : TwitterSearch
Graph Term : #paediatrics OR #pediatrics
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[152] covid,19 [90] #meded,#medtwitter [74] #medtwitter,#pediatrics [68] children,s [65] #parenting,#pediatrics [60] s,hospital [60] kids,#covid19 [59] ottawa,children [59] hospital,cheo [59] cheo,diagnosing Top Word Pairs in Tweet in G1:
[36] link,bio [21] click,link [17] click,here [17] here,apply [15] check,out [15] bio,apply [11] #ocm,#speaker [11] score,job [10] #pediatrics,#nursing [10] please,visit Top Word Pairs in Tweet in G2:
[72] covid,19 [24] q,paediatric [24] paediatric,training [18] impact,covid [17] #pediatrics,#paediatrics [16] kawasaki,disease [15] great,paper [15] paper,think [15] think,through [15] through,next Top Word Pairs in Tweet in G3:
[90] #meded,#medtwitter [69] #medtwitter,#pediatrics [17] #medtwitter,#medstudenttwitter [17] #medstudenttwitter,#pediatrics [14] #meded,#pediatrics [14] gram,ve [13] #medtwitter,#meded [12] 75,lethal [12] lethal,shock [10] 0,background Top Word Pairs in Tweet in G4:
[59] ottawa,children [59] children,s [59] s,hospital [59] hospital,cheo [59] cheo,diagnosing [59] diagnosing,more [59] more,brain [59] brain,tumours [59] tumours,children [59] children,researchers Top Word Pairs in Tweet in G5:
[8] #pediatrics,#pediatricians [7] mental,health [6] covid,19 [5] check,out [5] out,ameracadpeds' [5] ameracadpeds',webinar [5] webinar,addressing [5] addressing,family [5] family,mental [5] health,needs Top Word Pairs in Tweet in G6:
[10] #pediatrics,#tweetiatrician [8] up,date [6] vaccine,preventable [6] whooping,cough [6] #tweetiatrician,#weareherewithyou [5] #weareherewithyou,#pediatrics [5] date,vaccines [5] #weareherewithyou,nysaapch2 [4] call,pediatrician [4] pediatrician,schedule Top Word Pairs in Tweet in G7:
[21] year,old [19] old,mild [19] mild,motor [19] motor,deficit [19] #neuroradiology,#pediatrics [17] once,lifetime [17] lifetime,case [17] case,5 [17] 5,year [17] deficit,#neuroradiology Top Word Pairs in Tweet in G8:
[14] conferenceserie,global_meetings [10] brainstormingmeetings,com [10] https,t [10] t,co [9] september,16 [9] jamapediatrics,#coronavirus [8] submit,abstract [6] #pediatrics,#primarycare [6] primary,care [6] #pediatrics,#neonatology Top Word Pairs in Tweet in G9:
[16] another,#media [16] #media,appearance [16] appearance,another [16] another,important [16] important,message [16] message,repeated [16] repeated,doctorsanjay [16] doctorsanjay,sotonchildhosp [16] sotonchildhosp,bbcnews [16] bbcnews,earlier Top Word Pairs in Tweet in G10:
[13] d,patient [13] patient,budding [13] budding,artist [13] artist,yes [13] yes,signed [13] signed,original [13] original,copy [13] copy,now [13] now,decide [13] decide,gallery 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 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:
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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:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: