The graph represents a network of 4,668 Twitter users whose tweets in the requested range contained "edchat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 02 April 2019 at 15:30 UTC.
The requested start date was Monday, 01 April 2019 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 2-day, 19-hour, 0-minute period from Friday, 29 March 2019 at 05:00 UTC to Monday, 01 April 2019 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 : 4668
Unique Edges : 5524
Edges With Duplicates : 1574
Total Edges : 7098
Number of Edge Types : 3
Mentions : 5763
Tweet : 1244
Replies to : 91
Self-Loops : 1244
Reciprocated Vertex Pair Ratio : 0.0180961357210179
Reciprocated Edge Ratio : 0.0355489724125162
Connected Components : 562
Single-Vertex Connected Components : 239
Maximum Vertices in a Connected Component : 3259
Maximum Edges in a Connected Component : 5285
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.154198
Graph Density : 0.000247916555354383
Modularity : 0.710611
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[281] many,books [279] average,ceo [279] ceo,reads [279] reads,60 [278] davidgeurin,average [278] average,american [278] year,average [278] 60,books [278] books,year [278] year,wonder Top Word Pairs in Tweet in G1:
[136] helping,child [136] child,learn [136] learn,#selfregulate [136] #selfregulate,process [136] process,ups [136] ups,downs [136] downs,learn [136] learn,see [136] see,signs [136] signs,#sketchnote Top Word Pairs in Tweet in G2:
[64] #edchat,#education [62] #edtech,#elearning [61] #education,#edtech [58] #elearning,#k12 [47] #edtech,#edchat [31] cognitive,rigor [31] rigor,matrix [31] drkarinhess,#edchat [31] brain,blast [28] blast,#edchat Top Word Pairs in Tweet in G3:
[214] dear,students [214] students,going [214] going,tell [214] tell,jobs [214] jobs,tomorrow [214] tomorrow,ones [214] ones,create [213] mraspinall,dear [20] biggest,class [20] class,size Top Word Pairs in Tweet in G4:
[244] many,books [242] average,ceo [242] ceo,reads [242] reads,60 [241] average,american [241] year,average [241] 60,books [241] books,year [241] year,wonder [241] wonder,many Top Word Pairs in Tweet in G5:
[30] #edtech,#edchat [24] #edchat,#edtech [22] #education,#edchat [20] #edchat,#education [17] check,out [14] #edtech,#education [9] high,school [8] help,students [8] #math,#techtalk [8] #techtalk,#iphone Top Word Pairs in Tweet in G6:
[66] each,day [66] students,never [65] attitudes,adults [65] adults,school [65] school,time [65] time,become [65] become,attitudes [65] attitudes,students [65] never,forget [65] forget,#attitude Top Word Pairs in Tweet in G7:
[192] work,ethic [96] ethic,more [96] more,valuable [96] valuable,talent [96] talent,talent [96] talent,simply [96] simply,measures [96] measures,easy [96] easy,learn [96] learn,something Top Word Pairs in Tweet in G8:
[73] little,more [34] type,person [34] person,leaves [34] leaves,mark [34] mark,scar [34] scar,always [34] always,strive [34] strive,add [34] add,little [34] more,joy Top Word Pairs in Tweet in G9:
[46] #edtech,#edchat [26] #edchat,#learn [26] #learn,#edu [26] #edu,#teach [26] #teach,#educhat [10] #caedchat,#cuechat [10] #cuechat,#tosachat [10] #tosachat,#onted [10] #onted,#aussieed [10] #aussieed,#ibpyp Top Word Pairs in Tweet in G10:
[104] uncomfortable,reality [104] reality,thousands [104] thousands,requires [104] requires,improvement [104] improvement,schools [104] schools,doing [104] doing,exactly [104] exactly,same [104] same,things [103] milessteven001,uncomfortable 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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