The graph represents a network of 6,745 Twitter users whose tweets in the requested range contained "highered", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 13 October 2020 at 18:30 UTC.
The requested start date was Tuesday, 13 October 2020 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 5-day, 8-hour, 4-minute period from Wednesday, 07 October 2020 at 15:56 UTC to Tuesday, 13 October 2020 at 00:00 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 : 6745
Unique Edges : 5008
Edges With Duplicates : 10496
Total Edges : 15504
Number of Edge Types : 5
Mentions : 3104
MentionsInRetweet : 5978
Retweet : 4152
Tweet : 2067
Replies to : 203
Self-Loops : 2154
Reciprocated Vertex Pair Ratio : 0.0389380530973451
Reciprocated Edge Ratio : 0.0749574105621806
Connected Components : 1080
Single-Vertex Connected Components : 524
Maximum Vertices in a Connected Component : 4079
Maximum Edges in a Connected Component : 11027
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.357099
Graph Density : 0.00018066191994949
Modularity : 0.521508
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,745 Twitter users whose tweets in the requested range contained "highered", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 13 October 2020 at 18:30 UTC.
The requested start date was Tuesday, 13 October 2020 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 5-day, 8-hour, 4-minute period from Wednesday, 07 October 2020 at 15:56 UTC to Tuesday, 13 October 2020 at 00:00 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 : highered
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:
[249] higher,education [249] covid,19 [163] higher,ed [155] #highered,#highereducation [148] #highered,bill [145] learn,more [144] vote,confidence [143] staff,student [143] student,unions [143] unions,university Top Word Pairs in Tweet in G1:
[46] read,#adjunctnation [46] #adjunctnation,today [44] #highered,#college [44] #adjuncts,#highered [31] covid,19 [30] higher,ed [29] higher,education [27] colleges,universities [23] #highered,#highereducation [22] learn,more Top Word Pairs in Tweet in G2:
[68] covid,19 [59] higher,education [58] #highered,#edtech [58] #highered,#highereducation [51] #universidad,#university [42] #elearning,#mlearning [37] #edtech,#highered [30] #university,#highered [29] digital,universidades [27] eraser,#ã Top Word Pairs in Tweet in G3:
[147] #highered,bill [140] staff,student [140] student,unions [140] unions,university [140] university,melbourne [140] melbourne,re [140] re,passing [140] passing,vote [140] vote,confidence [140] confidence,vice Top Word Pairs in Tweet in G4:
[25] #highered,#highereducation [25] #highereducation,#highereducationleadership [21] sat,act [17] covid,19 [17] andrew,gillen [16] low,income [14] students,taxpayers [14] itâ,time [14] nacac,sacac_info [14] sacac_info,acceptgroup Top Word Pairs in Tweet in G5:
[59] people,think [58] annoys,end [58] end,people [58] think,elite [58] elite,ivies [58] ivies,center [58] center,#highered [58] #highered,fringe [58] fringe,community [58] community,colleges Top Word Pairs in Tweet in G6:
[6] conversation,galdemzineâ [6] galdemzineâ,livlittle [6] livlittle,profs [6] profs,tareynolds12 [6] tareynolds12,funmi [6] funmi,olonisakin [6] olonisakin,black [6] black,women [5] nicolarollock,conversation [5] women,inâ Top Word Pairs in Tweet in G7:
[16] diversity,governors [14] #highered,#edtech [14] we've,published [14] published,first [14] first,report [14] report,looking [14] looking,diversity [14] governors,#highered [14] #highered,uk [13] advancehe,we've Top Word Pairs in Tweet in G8:
[27] #education,#highered [25] #buffalo,#newyork [25] #newyork,#wny [24] read,more [18] #covid19,#education [17] #highered,#buffalo [15] more,#covid19 [11] #intled,#highered [10] #highered,#intled [10] queenâ,birthday Top Word Pairs in Tweet in G9:
[130] 100,cut [130] cut,symptom [130] symptom,deeper [130] deeper,malaise [130] malaise,acute [130] acute,shortage [130] shortage,high [130] high,quality [130] quality,#highered [130] #highered,options Top Word Pairs in Tweet in G10:
[18] asked,students [17] carelessness,entrepreneurial [17] entrepreneurial,#universities [16] herdjournal,carelessness [13] jillblackmore1,herdjournal [13] humanize,course [13] course,asked [13] students,covid19 [13] covid19,affected [13] affected,shared Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: