The graph represents a network of 4,277 Twitter users whose tweets in the requested range contained "#Twitterstorians", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 November 2019 at 10:15 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 1-hour, 40-minute period from Tuesday, 05 November 2019 at 13:03 UTC to Sunday, 10 November 2019 at 14:43 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 : 4277
Unique Edges : 5988
Edges With Duplicates : 1254
Total Edges : 7242
Number of Edge Types : 3
Mentions : 6312
Tweet : 852
Replies to : 78
Self-Loops : 852
Reciprocated Vertex Pair Ratio : 0.0325915542316454
Reciprocated Edge Ratio : 0.0631257424062447
Connected Components : 377
Single-Vertex Connected Components : 165
Maximum Vertices in a Connected Component : 3282
Maximum Edges in a Connected Component : 6063
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.881784
Graph Density : 0.000322225194346684
Modularity : 0.735219
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,277 Twitter users whose tweets in the requested range contained "#Twitterstorians", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 November 2019 at 10:15 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 1-hour, 40-minute period from Tuesday, 05 November 2019 at 13:03 UTC to Sunday, 10 November 2019 at 14:43 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 : #Twitterstorians
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[237] call,papers [196] iâ,m [162] à,à [160] march,2020 [159] 2020,â [158] spaces,forgotten [158] forgotten,places [156] m,organising [156] organising,conference [156] conference,mmu Top Word Pairs in Tweet in G1:
[65] hey,#twitterstorians [57] conference,travel [51] #twitterstorians,children [51] hear,manage [51] manage,childcare [51] childcare,conference [36] travel,#ahaperspectives [33] panel,196 [32] spread,word [27] children,want Top Word Pairs in Tweet in G2:
[35] ahem,#twitterstorians [35] #twitterstorians,interested [35] interested,history [35] history,women [35] women,medicineâ [35] medicineâ,professional [35] professional,challenges [34] annerhanley,ahem [34] challenges,relationshâ [31] pleased,announce Top Word Pairs in Tweet in G3:
[125] very,very [125] very,bad [125] bad,scholarship [125] scholarship,sciencemagazine [125] sciencemagazine,absolutely [125] absolutely,ashamed [125] ashamed,publishing [124] prof_gabriele,very [100] publishing,#medievaltwitter [25] publishing,#medievaltwitterâ Top Word Pairs in Tweet in G4:
[131] spaces,forgotten [131] forgotten,places [129] call,papers [129] m,organising [129] organising,conference [129] conference,mmu [129] mmu,march [129] march,2020 [129] hidden,spaces [128] tommcgrath_,call Top Word Pairs in Tweet in G5:
[18] passel,podcast [18] podcast,episodes [18] episodes,featuring [18] featuring,women [18] women,talking [18] talking,political [18] political,history [18] history,congressional [18] congressional,violence [18] violence,lmchervinsky Top Word Pairs in Tweet in G6:
[105] werehist,#onthisday [64] yrs,ago [64] ago,nov [63] 19th,amendment [62] #onthisday,147 [62] 147,yrs [62] nov,5 [62] 5,1872 [62] 1872,nearly [62] nearly,50 Top Word Pairs in Tweet in G7:
[5] #twitterstorians,anyone [5] #twitterstorians,#history [4] #medievaltwitter,#twitterstorians [4] hey,#twitterstorians [3] looking,books [3] high,school [3] ðÿ,ðÿ [3] look,latest [3] comparison,between [3] #twitterkurds,#twitterstorians Top Word Pairs in Tweet in G8:
[67] here,historians [67] historians,look [67] look,doing [67] doing,job [67] job,well [67] well,good [67] good,history [67] history,produced [67] produced,professionalism [66] fbongiornoanu,here Top Word Pairs in Tweet in G9:
[27] environmental,history [15] call,manuscripts [15] manuscripts,environmental [15] history,studies [15] studies,failure [15] failure,concordia [15] concordia,university [15] university,press [15] press,concordiapress [14] #history,#twitterstorians Top Word Pairs in Tweet in G10:
[68] mcgill,s [68] s,historic [68] direct,indirect [67] mcgill,announces [67] announces,two [67] two,postdoctoral [67] postdoctoral,fellowships [67] fellowships,#twitterstorians [67] #twitterstorians,1 [67] 1,looks 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:
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Top Tweeters in G10: