The graph represents a network of 4,747 Twitter users whose recent tweets contained "highered", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 20:34 UTC.
The tweets in the network were tweeted over the 1949-day, 8-hour, 53-minute period from Friday, 08 September 2017 at 16:06 UTC to Tuesday, 10 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4747
Unique Edges : 3370
Edges With Duplicates : 7791
Total Edges : 11161
Number of Edge Types : 9
Retweet : 2488
MentionsInRetweet : 3405
MentionsInReplyTo : 1169
Mentions : 2060
Replies to : 512
Tweet : 1212
Quote : 158
MentionsInQuote : 151
MentionsInQuoteReply : 6
Self-Loops : 1635
Reciprocated Vertex Pair Ratio : 0.0432223652749678
Reciprocated Edge Ratio : 0.0828631875881523
Connected Components : 654
Single-Vertex Connected Components : 276
Maximum Vertices in a Connected Component : 2508
Maximum Edges in a Connected Component : 6443
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.074078
Graph Density : 0.000251761464711982
Modularity : 0.494671
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,747 Twitter users whose recent tweets contained "highered", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 20:34 UTC.
The tweets in the network were tweeted over the 1949-day, 8-hour, 53-minute period from Friday, 08 September 2017 at 16:06 UTC to Tuesday, 10 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[741] learn,more [650] slide,deck [650] open,source [649] educators,learn [649] more,browsing [649] source,slide [649] browsing,open [640] chatgpt,educators [639] torreytrust,chatgpt [182] higher,education Top Word Pairs in Tweet in G1:
[620] slide,deck [619] educators,learn [619] chatgpt,educators [619] open,source [619] learn,more [619] source,slide [619] more,browsing [619] browsing,open [618] torreytrust,chatgpt [4] detection,tools Top Word Pairs in Tweet in G2:
[55] #jobinterview,#jobadvice [53] #jobadvice,#jobcoaching [51] higher,ed [47] #jobcoaching,#interviewcoaching [46] #highered,#edtech [41] higher,education [38] daily,thanks [36] student,affairs [35] #naspa,#jobsearch [33] #interviewcoaching,#careeradvise Top Word Pairs in Tweet in G3:
[26] higher,education [23] #highereducation,#highered [17] #highered,#highereducation [10] higher,ed [9] learn,more [8] colleges,universities [8] read,more [8] ai,robots [7] #highered,institutions [7] #education,#highered Top Word Pairs in Tweet in G4:
[148] highered_noc,jackposobiec [47] wolfoflevittown,highered_noc [28] redfizo1,highered_noc [21] jackposobiec,maddow [15] johnswine87,wolfoflevittown [14] highered_noc,draseemmalhotra [13] highered_noc,tomfitton [13] erickcourtney1,wolfoflevittown [10] mpukita,highered_noc [9] masonbrand71,highered_noc Top Word Pairs in Tweet in G5:
[68] #highered,#edtech [40] #edtech,#avtweeps [37] #avtweeps,#higheredav [28] top,edtech [28] region,gt [25] learn,more [24] barriers,prevent [24] see,#cloud [24] ascd,professional [24] solutions,being Top Word Pairs in Tweet in G6:
[10] pragmatic,approach [10] design,focused [10] findings,support [10] predominantly,pragmatic [10] take,predominantly [10] approach,design [10] observation,faculty [10] sharpe,oliver [10] support,sharpe [10] faculty,take Top Word Pairs in Tweet in G7:
[27] fanta,aw [23] executive,director [23] aw,phd [21] 13,23 [21] nafsa's,next [21] phd,serve [21] announce,fanta [21] next,executive [21] effective,13 [21] serve,nafsa's Top Word Pairs in Tweet in G8:
[14] daily,thanks [14] #highered,#education [9] higher,education [8] latest,coaching [8] today,thanks [8] coaching,today [8] #highered,#success [7] education,daily [7] latest,higher [7] latest,shiny Top Word Pairs in Tweet in G9:
[12] critical,future [12] create,bipartisan [12] simply,put [12] put,create [12] bipartisan,agenda [12] future,economies [12] economies,#highered [12] hbcus,critical [12] #highered,simply [11] jsiddiqi7,hbcus Top Word Pairs in Tweet in G10:
[8] multiplier,effects [8] positive,multiplier [8] catalyzed,local [8] effects,felt [8] local,#communityvisioning [8] felt,everyone [8] #communityvisioning,neighborhood [8] communities,everywhere [8] everywhere,exponentially [8] #highered,communities Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: