The graph represents a network of 4,263 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 Wednesday, 13 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, 9-hour, 3-minute period from Tuesday, 05 November 2019 at 15:56 UTC to Monday, 11 November 2019 at 00:59 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 : 4263
Unique Edges : 5901
Edges With Duplicates : 1345
Total Edges : 7246
Number of Edge Types : 3
Tweet : 871
Mentions : 6294
Replies to : 81
Self-Loops : 871
Reciprocated Vertex Pair Ratio : 0.0317883146865566
Reciprocated Edge Ratio : 0.061617900172117
Connected Components : 381
Single-Vertex Connected Components : 169
Maximum Vertices in a Connected Component : 3267
Maximum Edges in a Connected Component : 6064
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.943838
Graph Density : 0.000319777096100338
Modularity : 0.730851
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,263 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 Wednesday, 13 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, 9-hour, 3-minute period from Tuesday, 05 November 2019 at 15:56 UTC to Monday, 11 November 2019 at 00:59 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 : #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:
[212] call,papers [173] iâ,m [162] à,à [138] march,2020 [138] 2020,â [137] spaces,forgotten [137] forgotten,places [135] very,bad [135] m,organising [135] organising,conference Top Word Pairs in Tweet in G1:
[65] hey,#twitterstorians [55] conference,travel [49] #twitterstorians,children [49] hear,manage [49] manage,childcare [49] childcare,conference [35] travel,#ahaperspectives [34] spread,word [33] panel,196 [29] book,contracts Top Word Pairs in Tweet in G2:
[124] very,very [124] very,bad [124] bad,scholarship [124] scholarship,sciencemagazine [124] sciencemagazine,absolutely [124] absolutely,ashamed [124] ashamed,publishing [123] prof_gabriele,very [100] publishing,#medievaltwitter [24] publishing,#medievaltwitterâ Top Word Pairs in Tweet in G3:
[34] ahem,#twitterstorians [34] #twitterstorians,interested [34] interested,history [34] history,women [34] women,medicineâ [34] medicineâ,professional [34] professional,challenges [33] annerhanley,ahem [33] challenges,relationshâ [29] pleased,announce Top Word Pairs in Tweet in G4:
[105] werehist,#onthisday [71] yrs,ago [71] 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 G5:
[6] #twitterstorians,#history [5] #twitterstorians,anyone [4] high,school [4] #medievaltwitter,#twitterstorians [4] hey,#twitterstorians [3] looking,books [3] ðÿ,ðÿ [3] look,latest [3] comparison,between [3] #twitterkurds,#twitterstorians Top Word Pairs in Tweet in G6:
[73] here,historians [73] historians,look [73] look,doing [73] doing,job [73] job,well [73] well,good [73] good,history [73] history,produced [73] produced,professionalism [72] fbongiornoanu,here Top Word Pairs in Tweet in G7:
[111] call,papers [111] m,organising [111] organising,conference [111] conference,mmu [111] mmu,march [111] march,2020 [111] hidden,spaces [111] spaces,forgotten [111] forgotten,places [110] tommcgrath_,call Top Word Pairs in Tweet in G8:
[28] environmental,history [18] call,manuscripts [18] manuscripts,environmental [18] history,studies [18] studies,failure [18] failure,concordia [18] concordia,university [18] university,press [16] #history,#twitterstorians [16] press,concordiapress Top Word Pairs in Tweet in G9:
[13] kimberley,jordan [13] jordan,reeman [11] #ehfa,blog [11] blog,kimberley [11] reeman,imagines [11] imagines,culloden [10] robert,catesby [9] ehfablog,#ehfa [9] died,#onthisday [9] #onthisday,1809 Top Word Pairs in Tweet in G10:
[82] mcgill,s [82] s,historic [82] direct,indirect [81] mcgill,announces [81] announces,two [81] two,postdoctoral [81] postdoctoral,fellowships [81] fellowships,#twitterstorians [81] #twitterstorians,1 [81] 1,looks Top Replied-To in Entire Graph:
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Top Replied-To in G6:
Top Replied-To in G8:
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: