The graph represents a network of 385 Twitter users whose tweets in the requested range contained "#eval", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 07 April 2020 at 14:24 UTC.
The requested start date was Tuesday, 07 April 2020 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 13-day, 19-hour, 24-minute period from Tuesday, 24 March 2020 at 00:05 UTC to Monday, 06 April 2020 at 19:30 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 : 385
Unique Edges : 723
Edges With Duplicates : 311
Total Edges : 1034
Number of Edge Types : 4
MentionsInRetweet : 687
Mentions : 218
Replies to : 11
Tweet : 118
Self-Loops : 118
Reciprocated Vertex Pair Ratio : 0.0591549295774648
Reciprocated Edge Ratio : 0.111702127659574
Connected Components : 50
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 269
Maximum Edges in a Connected Component : 903
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.016748
Graph Density : 0.00508658008658009
Modularity : 0.483049
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 385 Twitter users whose tweets in the requested range contained "#eval", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 07 April 2020 at 14:24 UTC.
The requested start date was Tuesday, 07 April 2020 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 13-day, 19-hour, 24-minute period from Tuesday, 24 March 2020 at 00:05 UTC to Monday, 06 April 2020 at 19:30 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 : #eval
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:
[45] during,crisis [43] #covid19,changing [43] changing,way [43] way,work [43] work,tips [43] tips,evaluating [43] evaluating,during [41] co,z23pf17qhk [40] undp_evaluation,#covid19 [36] resources,#eval Top Word Pairs in Tweet in G1:
[30] #covid19,changing [30] changing,way [30] way,work [30] work,tips [30] tips,evaluating [30] evaluating,during [30] co,z23pf17qhk [29] during,crisis [29] undp_evaluation,#covid19 [23] crisis,co Top Word Pairs in Tweet in G2:
[26] time,#covid19 [26] mquinnp,bmevaluation [25] resources,#eval [25] #eval,time [25] #covid19,crisis [25] crisis,ht [25] ht,undp_evaluation [25] undp_evaluation,mquinnp [24] tgarchibald,resources [16] bmevaluation,aeaweâ Top Word Pairs in Tweet in G3:
[18] episode,know [18] know,one [18] one,week [18] week,right [18] right,khalilbitar [18] khalilbitar,joins [18] joins,talk [18] talk,evalyouth [18] evalyouth,importance [17] evalcafe,episode Top Word Pairs in Tweet in G4:
[10] vidhya,shanker [9] clysy,missed [9] crisis,#covid19 [8] resources,#eval [8] #eval,time [8] time,crisis [8] #covid19,free [8] free,range [8] range,evaluation [8] evaluation,evaluationafdb Top Word Pairs in Tweet in G5:
[3] death,rate [2] trying,answer [2] #eval,#evaluation [2] engage,stakeholders [2] #evaluation,#eval [2] #eval,#evaltwitter Top Word Pairs in Tweet in G6:
[9] #eval,#evaluation [4] crash,course [4] course,webinar [4] key,messages [3] time,innovative [3] innovative,#eval [3] #eval,reporting [3] reporting,sticky [3] sticky,key [3] messages,people Top Word Pairs in Tweet in G7:
[3] excited,paper [3] paper,#eval [3] #eval,differs [3] differs,research [3] research,accepted [3] accepted,publication [3] publication,share [3] challenges,time [3] time,#covid19 [3] #covid19,savethechildren Top Word Pairs in Tweet in G9:
[7] famous,logic [7] logic,model [7] model,uk [7] uk,right [7] right,#coronavirus [7] #coronavirus,#covid19 [7] #covid19,traversepeople [7] traversepeople,chew_uk [7] chew_uk,ukevaluation [6] timbidey,famous Top Word Pairs in Tweet in G10:
[4] starting,#evaluation [4] #evaluation,projects [4] projects,#idleg [4] #idleg,#idpol [4] #idpol,#eval [4] #eval,idaho_ope [4] idaho_ope,driver [4] driver,verification [4] verification,cards [3] rakeshmohaneval,starting Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
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:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: