The graph represents a network of 346 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, 04 August 2020 at 15:33 UTC.
The requested start date was Tuesday, 04 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 20-hour, 30-minute period from Tuesday, 21 July 2020 at 00:03 UTC to Monday, 03 August 2020 at 20:34 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 : 346
Unique Edges : 435
Edges With Duplicates : 1079
Total Edges : 1514
Number of Edge Types : 5
Mentions : 273
Retweet : 398
MentionsInRetweet : 733
Tweet : 100
Replies to : 10
Self-Loops : 122
Reciprocated Vertex Pair Ratio : 0.0646976090014065
Reciprocated Edge Ratio : 0.121532364597094
Connected Components : 31
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 278
Maximum Edges in a Connected Component : 1401
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.311351
Graph Density : 0.00634162687442406
Modularity : 0.326525
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 346 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, 04 August 2020 at 15:33 UTC.
The requested start date was Tuesday, 04 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 20-hour, 30-minute period from Tuesday, 21 July 2020 at 00:03 UTC to Monday, 03 August 2020 at 20:34 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:
[44] volunteers,yees [40] evalyouth,volunteers [35] scholarships,evalyouth [35] attend,being [35] being,evaluator [27] yees,encompass_world [27] encompass_world,attend [22] need,produce [22] produce,#eval [22] #eval,knowledge Top Word Pairs in Tweet in G1:
[19] need,produce [19] produce,#eval [19] #eval,knowledge [19] knowledge,supports [19] supports,actions [19] actions,policies [19] policies,respond [19] respond,people [19] people,needs [18] undp_evaluation,need Top Word Pairs in Tweet in G2:
[9] more,self [7] #eval,#evaluation [7] job,board [6] aeaweb,stem [6] stem,group [6] group,folks [6] folks,interested [6] interested,#stem [6] #stem,#education [6] #education,#leadership Top Word Pairs in Tweet in G3:
[29] evalyouth,volunteers [26] volunteers,yees [25] scholarships,evalyouth [25] attend,being [25] being,evaluator [14] #yees,evalyouth [14] yees,encompass_world [14] encompass_world,attend [13] apply,scholarships [12] young,emerging Top Word Pairs in Tweet in G4:
[12] democracy,human [12] human,rights [12] rights,governance [12] #eval,available [12] available,spanish [10] great,news [10] news,ioce_eval [10] ioce_eval,vopetoolkit [10] vopetoolkit,democracy [10] governance,#eval Top Word Pairs in Tweet in G5:
[6] cartoon,set [6] set,aisharios17 [6] aisharios17,evaluator [6] evaluator,abolition [6] abolition,#eval [6] #eval,#abolishthepolice [5] current,conversations [5] conversations,#transformation [5] #transformation,#eval [5] #eval,'sanitized Top Word Pairs in Tweet in G6:
[5] #eval,theories [5] dr,amer [5] #trusttraining,#globaldev [5] #globaldev,#eval [4] episode,really [4] really,enjoyed [4] enjoyed,learned [4] learned,lot [4] lot,talking [4] talking,ayeshaboyce Top Word Pairs in Tweet in G7:
[7] mejora,evoluciona [7] evoluciona,ejecución [7] ejecución,punto [7] punto,venta [7] venta,retailers [7] retailers,fundamental [7] fundamental,conocer [7] conocer,sucede [7] sucede,piso [7] piso,venta Top Word Pairs in Tweet in G8:
[8] joke,#eval [6] #eval4action,unique [6] unique,opportunity [6] opportunity,evaluators [6] evaluators,around [6] around,promote [6] promote,#evaluation [6] #evaluation,sustainable [6] sustainable,development [6] development,#eval Top Word Pairs in Tweet in G9:
[4] good,video [4] video,implicit [4] implicit,bias [4] bias,training [4] training,important [4] important,realize [4] realize,short [4] short,lived [4] lived,perfomative [4] perfomative,trainings Top Word Pairs in Tweet in G10:
[3] aeaweb,#eval [2] love,thanks [2] thanks,tomeval [2] tomeval,honesty [2] honesty,humility [2] humility,love [2] love,qs [2] qs,shireeteng [2] shireeteng,work [2] work,valuate Top Replied-To in Entire Graph:
Top Replied-To in G4:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: