The graph represents a network of 2,074 Twitter users whose tweets in the requested range contained ""digital humanities" OR "digital humanist"", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 28 October 2021 at 04:11 UTC.
The requested start date was Thursday, 28 October 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 13-day, 9-hour, 22-minute period from Thursday, 14 October 2021 at 00:10 UTC to Wednesday, 27 October 2021 at 09:33 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 : 2074
Unique Edges : 1960
Edges With Duplicates : 6579
Total Edges : 8539
Number of Edge Types : 5
Mentions : 490
Retweet : 3074
MentionsInRetweet : 4534
Tweet : 361
Replies to : 80
Self-Loops : 372
Reciprocated Vertex Pair Ratio : 0.018400726942299
Reciprocated Edge Ratio : 0.0361365157260763
Connected Components : 18
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 2010
Maximum Edges in a Connected Component : 8458
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.355122
Graph Density : 0.00104270314801919
Modularity : 0.370144
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,074 Twitter users whose tweets in the requested range contained "%22digital humanities%22 OR %22digital humanist%22", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 28 October 2021 at 04:11 UTC.
The requested start date was Thursday, 28 October 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 13-day, 9-hour, 22-minute period from Thursday, 14 October 2021 at 00:10 UTC to Wednesday, 27 October 2021 at 09:33 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 : %22digital humanities%22 OR %22digital humanist%22
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:
[2388] digital,humanities [243] full,time [216] data,studies [196] time,tenure [196] tenure,stream [188] infrastructure,studies [183] indigenous,data [182] university,toronto [179] asst,prof [174] critical,infrastructure Top Word Pairs in Tweet in G1:
[888] digital,humanities [32] assistant,professor [31] humanities,research [29] working,digital [27] social,sciences [27] humanities,social [25] department,digital [25] what_is_dh,digital [25] #dh,#digitalhumanities [24] libe,working Top Word Pairs in Tweet in G2:
[489] digital,humanities [17] assistant,professor [17] humanities,project [13] professor,digital [13] what_is_dh,digital [13] #dh,#digitalhumanities [12] humanities,research [11] humanities,social [10] social,sciences [10] humanities,specialization Top Word Pairs in Tweet in G3:
[162] digital,humanities [106] infrastructure,studies [97] critical,infrastructure [71] studies,digital [62] humanities,book [50] edited,alanyliu [49] book,edited [48] pleased,invite [48] invite,contributions [48] contributions,critical Top Word Pairs in Tweet in G4:
[160] indigenous,data [160] data,studies [158] university,toronto [158] toronto,faculty [158] faculty,information [158] information,asst [158] asst,prof [158] prof,job [158] job,full [158] full,time Top Word Pairs in Tweet in G5:
[187] digital,humanities [17] digital,projects [17] projects,showcase [16] #asuhumanities,week [15] thanks,generous [15] generous,nehgov [15] nehgov,grant [15] grant,super [15] super,lucky [15] lucky,guy Top Word Pairs in Tweet in G6:
[105] digital,humanities [40] full,time [39] job,alert [39] time,0fte [39] university,liverpool [36] dr,nora [36] nora,white [32] white,earlyirishmu [32] alert,digital [32] humanities,postdoctoral Top Word Pairs in Tweet in G7:
[75] digital,humanities [44] humanities,research [43] looked,livingwmachines [43] livingwmachines,work [43] work,thought [43] thought,'i'd [43] 'i'd,part [43] part,that' [43] that',apply [43] apply,digital Top Word Pairs in Tweet in G8:
[77] digital,humanities [44] humanities,institute [43] public,digital [42] thrilled,announce [42] announce,public [42] institute,coming [42] coming,univofkansas [42] univofkansas,june [42] june,2022 [42] 2022,courtesy Top Word Pairs in Tweet in G9:
[31] digital,humanities [19] black,beyond [19] beyond,data [19] data,co [19] co,pis [19] pis,jmjafrx [19] jmjafrx,blackdigitalhum [17] check,dh [17] dh,project [17] project,looking Top Word Pairs in Tweet in G10:
[25] digital,humanities [24] neuer,blogbeitrag [24] blogbeitrag,swagunke [24] swagunke,fabian_cremer [24] fabian_cremer,erfahrungen [24] erfahrungen,einsichten [24] einsichten,unfrequently [24] unfrequently,asked [23] thwuebbena,neuer [23] asked,questi 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 G5:
Top Replied-To in G7:
Top Replied-To in G9:
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 G9:
Top Tweeters in G10: