The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Friday, 08 July 2022 at 21:05 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
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 : 1176
Unique Edges : 1411
Edges With Duplicates : 6274
Total Edges : 7685
Number of Edge Types : 5
Mentions : 1743
Replies to : 2354
Tweet : 1946
Retweet : 954
MentionsInRetweet : 688
Self-Loops : 1946
Reciprocated Vertex Pair Ratio : 0.213239601640305
Reciprocated Edge Ratio : 0.351521004345727
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 1175
Maximum Edges in a Connected Component : 7684
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.192889
Graph Density : 0.00149876972065422
Modularity : 0.1597
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Friday, 08 July 2022 at 21:05 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : User List
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[196] higher,ed [147] higher,education [84] student,loan [41] community,college [37] student,loans [36] financial,aid [36] federal,student [32] tenure,track [32] community,colleges [29] student,debt Top Word Pairs in Tweet in G1:
[150] higher,ed [128] higher,education [70] student,loan [34] community,college [34] federal,student [32] student,loans [30] financial,aid [26] community,colleges [25] tenure,track [24] student,debt Top Word Pairs in Tweet in G2:
[21] higher,ed [11] rkelchen,kevinrmcclure [10] answer,question [9] correct,answer [8] higher,education [7] bakerdphd,rkelchen [7] next,tweet [7] following,correct [6] rkelchen,cant_b [5] rkelchen,think Top Word Pairs in Tweet in G3:
[7] student,loan [6] higher,ed [6] stephenburd2,jselingo [4] loan,forgiveness [4] price,controls [4] cost,controls [4] profit,colleges [4] graduate,professional [4] master's,degrees [4] higher,education Top Word Pairs in Tweet in G4:
[6] higher,ed [3] lindaperlstein,rkelchen [2] whether,non [2] rkelchen,latter [2] rkelchen,dcollier74 [2] excited,work [2] last,week [2] month,joining [2] rkelchen,one [2] mpolikoff,etkeld Top Word Pairs in Tweet in G5:
[13] rkelchen,utkcehhs [11] utkcehhs,utknoxville [3] rkelchen,utknoxville [3] utknoxville,welcome [2] best,wishes [2] budget,model Top Word Pairs in Tweet in G6:
[3] rkelchen,nasfaa [3] student,debt [3] poliscibell,odedgurantz [3] odedgurantz,dougwebberecon [3] dougwebberecon,rkelchen [3] rkelchen,dynarski [2] next,year [2] title,iv [2] demand,students [2] re,bad Top Word Pairs in Tweet in G7:
[6] rkelchen,minseonpark1 [3] lois_miller,rkelchen [3] tuition,freezes [3] rkelchen,saragoldrickrab [3] saragoldrickrab,rkelchen [2] personal,news [2] minseonpark1,thanks [2] sarah,turner [2] net,price [2] doesn,match Top Word Pairs in Tweet in G8:
[2] rkelchen,tressiemcphd Top Word Pairs in Tweet in G9:
[3] college,students [2] fellows,program [2] students,turn [2] financial,aid [2] fin,aid [2] student,debt [2] students,disabilities Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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