The graph represents a network of 234 Twitter users whose tweets in the requested range contained "iSchools", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 31 December 2020 at 04:33 UTC.
The requested start date was Thursday, 31 December 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 89-day, 9-hour, 50-minute period from Thursday, 01 October 2020 at 05:59 UTC to Tuesday, 29 December 2020 at 15:50 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 : 234
Unique Edges : 169
Edges With Duplicates : 386
Total Edges : 555
Number of Edge Types : 5
Replies to : 23
Mentions : 94
Retweet : 155
MentionsInRetweet : 224
Tweet : 59
Self-Loops : 59
Reciprocated Vertex Pair Ratio : 0.049645390070922
Reciprocated Edge Ratio : 0.0945945945945946
Connected Components : 35
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 144
Maximum Edges in a Connected Component : 440
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.258776
Graph Density : 0.00542900113715564
Modularity : 0.455979
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 234 Twitter users whose tweets in the requested range contained "iSchools", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 31 December 2020 at 04:33 UTC.
The requested start date was Thursday, 31 December 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 89-day, 9-hour, 50-minute period from Thursday, 01 October 2020 at 05:59 UTC to Tuesday, 29 December 2020 at 15:50 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 : iSchools
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:
[44] lecturer,expertise [44] expertise,chemoinformatics [43] chemoinformatics,data [40] virtual,event [40] data,science [39] science,applied [36] power,information [31] seeking,appoint [31] appoint,highly [31] highly,motivated Top Word Pairs in Tweet in G1:
[33] virtual,event [30] research,papers [28] power,information [22] information,virtual [22] event,showcasing [22] showcasing,opportunities [22] opportunities,programs [22] programs,prospective [21] prospective,graduate [21] graduate,students Top Word Pairs in Tweet in G2:
[12] join,cuny [12] cuny,nov [12] nov,19 [12] 19,reading [12] reading,jamiealee2013 [12] jamiealee2013,forthcoming [12] forthcoming,book [12] book,followed [12] followed,discussion [11] jameslowryatl,join Top Word Pairs in Tweet in G3:
[42] lecturer,expertise [42] expertise,chemoinformatics [42] chemoinformatics,data [39] data,science [38] science,applied [30] seeking,appoint [30] appoint,highly [30] highly,motivated [30] motivated,lecturer [29] infoschoolsheff,seeking Top Word Pairs in Tweet in G5:
[12] local,operating [12] operating,referendum [12] referendum,approved [12] approved,unlock [12] unlock,800 [12] 800,pupil [12] pupil,funding [12] funding,schools [12] schools,including [12] including,103 Top Word Pairs in Tweet in G6:
[3] go,big [3] big,blue [2] tomorrow,wsu [2] wsu,sis [2] sis,power [2] power,information [2] information,virtual [2] virtual,event [2] event,showcasing [2] showcasing,opportunities Top Word Pairs in Tweet in G7:
[4] #oer,librarianship [4] librarianship,professional [4] professional,development [4] development,oen's [4] oen's,courses [4] courses,#ischools [4] #ischools,enter [4] read,ischool [4] ischool,student [4] student,blog Top Word Pairs in Tweet in G8:
[2] alisehq,asist_org [2] asist_org,ischools [2] ethics,ai [2] ai,statement [2] come,study [2] study,ischool [2] ischool,rutgers [2] rutgers,accepting [2] accepting,phd [2] phd,applications Top Word Pairs in Tweet in G9:
[2] ischoolumd,ischoolui [2] power,information [2] virtual,event [2] prospective,graduate [2] graduate,students [2] students,more Top Word Pairs in Tweet in G10:
[5] happy,help [5] help,anyone [5] anyone,applying [5] applying,ischools [5] ischools,cs [5] cs,programs [5] programs,fall [5] fall,first [5] first,gen [5] gen,feel Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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 G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: