The graph represents a network of 208 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 Friday, 04 December 2020 at 04:33 UTC.
The requested start date was Thursday, 03 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 90-day, 23-hour, 4-minute period from Thursday, 03 September 2020 at 01:01 UTC to Thursday, 03 December 2020 at 00:06 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 : 208
Unique Edges : 161
Edges With Duplicates : 344
Total Edges : 505
Number of Edge Types : 5
Replies to : 16
Mentions : 97
Retweet : 134
MentionsInRetweet : 196
Tweet : 62
Self-Loops : 62
Reciprocated Vertex Pair Ratio : 0.044
Reciprocated Edge Ratio : 0.0842911877394636
Connected Components : 33
Single-Vertex Connected Components : 10
Maximum Vertices in a Connected Component : 120
Maximum Edges in a Connected Component : 387
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.113566
Graph Density : 0.006061872909699
Modularity : 0.440383
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 208 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 Friday, 04 December 2020 at 04:33 UTC.
The requested start date was Thursday, 03 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 90-day, 23-hour, 4-minute period from Thursday, 03 September 2020 at 01:01 UTC to Thursday, 03 December 2020 at 00:06 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:
[78] research,papers [39] short,research [36] power,information [33] virtual,event [32] iconference,2021 [28] information,virtual [27] opportunities,programs [26] event,showcasing [26] showcasing,opportunities [25] programs,prospective Top Word Pairs in Tweet in G1:
[47] research,papers [25] iconference,2021 [25] short,research [15] full,short [13] uploaded,conftool [13] end,day [13] #deadline,#iconf21 [12] submission,#deadline [11] important,update [11] update,due Top Word Pairs in Tweet in G2:
[31] research,papers [24] power,information [22] virtual,event [19] information,virtual [19] event,showcasing [19] showcasing,opportunities [19] opportunities,programs [19] programs,prospective [18] prospective,graduate [18] graduate,students Top Word Pairs in Tweet in G3:
[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 G4:
[15] operating,referendum [12] local,operating [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 G5:
[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 G6:
[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:
[4] alise,leadership [4] leadership,academy [4] academy,designed [4] designed,generate [4] generate,interest [4] interest,leadership [4] leadership,build [4] build,confidence [4] confidence,prospective [3] prospective,leaders Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[6] ischools,virtual [6] virtual,grad [5] grad,fair [4] tomorrow,10 [4] 10,26 [4] representing,cuinfoscience [4] cuinfoscience,ischools [3] 26,representing [3] fair,interested [2] cfiesler,tomorrow Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: