The graph represents a network of 4,777 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, 12 May 2020 at 18:20 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 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 4-day, 2-hour, 32-minute period from Thursday, 07 May 2020 at 21:27 UTC to Tuesday, 12 May 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 : 4777
Unique Edges : 3574
Edges With Duplicates : 6601
Total Edges : 10175
Number of Edge Types : 5
Mentions : 2331
Tweet : 1644
MentionsInRetweet : 3543
Retweet : 2529
Replies to : 128
Self-Loops : 1696
Reciprocated Vertex Pair Ratio : 0.0439110070257611
Reciprocated Edge Ratio : 0.0841278743690409
Connected Components : 874
Single-Vertex Connected Components : 406
Maximum Vertices in a Connected Component : 2386
Maximum Edges in a Connected Component : 6204
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 9.008479
Graph Density : 0.000234451512324023
Modularity : 0.529238
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 4,777 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, 12 May 2020 at 18:20 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 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 4-day, 2-hour, 32-minute period from Thursday, 07 May 2020 at 21:27 UTC to Tuesday, 12 May 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:
[213] covid,19 [161] #college,#collegetalk [157] higher,education [99] #highered,#highereducation [81] colleges,universities [80] higher,ed [79] learn,more [75] #highereducation,#highered [64] during,covid [59] john,kerry Top Word Pairs in Tweet in G1:
[27] higher,education [21] #highered,#highereducation [21] covid,19 [17] #highereducation,#highered [16] #education,#highered [14] keep,students [14] oklahoma,city [13] students,engaged [13] engaged,campus [13] campus,disrupted Top Word Pairs in Tweet in G2:
[48] higher,education [42] #highered,#highereducation [40] #elearning,#mlearning [28] #edtech,#edchat [28] #highered,#edtech [27] #universidad,#university [26] simonelesrobots,#univ4good [26] open,apereo [24] covid,19 [24] open,source Top Word Pairs in Tweet in G3:
[14] covid,19 [12] colleges,universities [10] latest,#collegeadmissions [10] #collegeadmissions,news [10] news,advice [9] higher,education [8] discuss,#highered [8] country,easy [8] easy,imagine [8] imagine,nation Top Word Pairs in Tweet in G4:
[38] visual,impact [19] tweets,visual [17] instagram,visual [12] impact,university [11] ten,instagram [9] ten,tweets [6] #academia,#highered [6] global,academy [6] academy,jobs [3] impact,owens Top Word Pairs in Tweet in G5:
[16] covid,19 [13] higher,ed [12] future,#highered [9] one,five [8] pool,23 [8] 23,000 [8] 000,parenting [8] parenting,students [8] students,over [8] over,53 Top Word Pairs in Tweet in G6:
[15] #highered,#cybersecurity [15] edtech_highered,#highereducation [15] markkula,center [15] center,applied [15] applied,#ethics [14] #cybersecurity,skills [14] skills,shortage [14] shortage,#ai [14] #ai,answer [14] answer,edtech_highered Top Word Pairs in Tweet in G7:
[16] covid,19 [14] #covid,mean [14] mean,universities [14] universities,set [14] set,obligations [14] obligations,expectations [14] expectations,students [14] students,face [14] face,role [13] verityfirth,#covid Top Word Pairs in Tweet in G8:
[34] due,#covid19 [26] internationalization,#highered [26] #highered,dead [26] dead,due [26] #covid19,require [26] require,disruptive [26] disruptive,innovation [26] innovation,john [26] john,hudzik [25] fmarmole,internationalization Top Word Pairs in Tweet in G9:
[24] women,#highered [23] #highered,running [23] running,several [23] several,writing [23] writing,groups [23] groups,summer [23] summer,six [23] six,weeks [23] weeks,day [23] day,evening Top Word Pairs in Tweet in G10:
[24] academic,women [24] women,writing [24] writing,creating [24] creating,thinking [24] thinking,care [24] care,babies [24] babies,parents [24] parents,students [23] nvancleve,academic [23] students,celebra Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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