The graph represents a network of 322 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, 13 October 2020 at 15:28 UTC.
The requested start date was Tuesday, 13 October 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, 10-hour, 36-minute period from Tuesday, 29 September 2020 at 11:27 UTC to Monday, 12 October 2020 at 22:03 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 : 322
Unique Edges : 388
Edges With Duplicates : 911
Total Edges : 1299
Number of Edge Types : 5
Mentions : 271
Retweet : 351
MentionsInRetweet : 590
Tweet : 76
Replies to : 11
Self-Loops : 82
Reciprocated Vertex Pair Ratio : 0.1088
Reciprocated Edge Ratio : 0.196248196248196
Connected Components : 23
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 283
Maximum Edges in a Connected Component : 1240
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.22521
Graph Density : 0.00670459162941894
Modularity : 0.345961
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 322 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, 13 October 2020 at 15:28 UTC.
The requested start date was Tuesday, 13 October 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, 10-hour, 36-minute period from Tuesday, 29 September 2020 at 11:27 UTC to Monday, 12 October 2020 at 22:03 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:
[43] #eval,#evaluation [35] #job,#vacancy [32] re,seeking [32] seeking,evaluation [32] join,team [32] #eval,promote [32] promote,use [30] undp_evaluation,#job [26] #vacancy,re [25] conduct,#eval Top Word Pairs in Tweet in G1:
[32] #eval,#evaluation [8] high,stakes [7] finished,speaking [7] speaking,conducting [7] conducting,#evaluation [7] #evaluation,high [7] stakes,public [7] public,policy [7] policy,environments [7] environments,kd_eval's Top Word Pairs in Tweet in G2:
[14] join,#eval4action [12] asia,pacific [11] miss,webinar [11] webinar,speakers [11] speakers,inspiring [11] inspiring,yee [11] yee,leaders [11] leaders,initiated [11] initiated,sustained [10] khalilbitar,asia Top Word Pairs in Tweet in G3:
[20] #job,#vacancy [20] re,seeking [20] seeking,evaluation [20] join,team [20] #eval,promote [20] promote,use [18] #vacancy,re [18] undp_evaluation,#job [16] evaluation,specialists [16] specialists,p3 Top Word Pairs in Tweet in G4:
[12] president,elect [7] aeaweb,ballot [7] aea,members [7] #developmental_evaluation,applied [7] applied,#impactinvesting [7] #impactinvesting,join [7] join,penehawk [7] penehawk,leealexander71 [7] leealexander71,karimharji [6] aeaweb,president Top Word Pairs in Tweet in G5:
[11] ðÿœÿjob,alert [11] alert,ðÿœÿmy [11] ðÿœÿmy,program [11] program,hiring [11] hiring,rank [11] rank,assistant [11] assistant,professor [11] professor,come [11] come,work [11] work,review Top Word Pairs in Tweet in G6:
[8] forget,cast [8] cast,aeaamp [8] aeaamp,election [8] election,ballot [8] ballot,takes [8] takes,seconds [8] seconds,#aea [8] #aea,#eval [8] #eval,#responsbility [7] counting,down Top Word Pairs in Tweet in G7:
[7] fabulous,time [7] time,chatting [7] chatting,dgkeyes [7] dgkeyes,rfortherest [7] rfortherest,course [7] course,inferential [7] inferential,#stats [7] #stats,#rstats [6] evaluland,fabulous [6] #rstats,talk Top Word Pairs in Tweet in G8:
[8] thank,triciaw_22 [8] triciaw_22,reminding [8] reminding,terrific [8] terrific,paper [8] paper,julia_coffman [8] julia_coffman,tanyabeer [8] tanyabeer,avoiding [7] bettereval,thank [6] avoiding,#cognitivetraps [3] check,engagerd's Top Word Pairs in Tweet in G9:
[4] #grants,#eval [3] developmental,evaluation [3] æ,æ [2] #eval,#evaluation [2] four,traps [2] doing,developmental [2] #de,#evaluation [2] #eval,#innovation [2] porsche,cup [2] ãƒ,ムTop Word Pairs in Tweet in G10:
[6] favourite,example [6] example,everybody [6] everybody,doing [6] doing,research [6] research,showed [6] showed,better [5] carolinefiennes,favourite [5] better,everyâ [4] #impact,impact [4] impact,evaluations 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 G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G9:
Top Tweeters in G10: