The graph represents a network of 418 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, 19 February 2019 at 07:27 UTC.
The requested start date was Tuesday, 19 February 2019 at 01:01 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, 21-hour, 46-minute period from Tuesday, 05 February 2019 at 02:02 UTC to Monday, 18 February 2019 at 23:49 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 : 418
Unique Edges : 657
Edges With Duplicates : 332
Total Edges : 989
Number of Edge Types : 3
Mentions : 810
Tweet : 160
Replies to : 19
Self-Loops : 160
Reciprocated Vertex Pair Ratio : 0.0696594427244582
Reciprocated Edge Ratio : 0.130246020260492
Connected Components : 36
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 345
Maximum Edges in a Connected Component : 892
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.057237
Graph Density : 0.00396429268068799
Modularity : 0.539457
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[63] eval,evaluation [54] evaljobs,eval [35] little,journey [35] journey,better [35] better,educating [35] educating,myself [35] myself,indigenous [35] indigenous,equitableevaluation [35] equitableevaluation,here [35] here,9 Top Word Pairs in Tweet in G1:
[52] evaljobs,eval [48] eval,evaluation [8] hiring,research [8] hiring,senior [7] hiring,evaluation [7] london,evaljobs [6] toronto,evaljobs [6] new,york [6] evaluation,officer [6] washington,evaljobs Top Word Pairs in Tweet in G2:
[14] learning,eval [10] friends,colleagues [9] colleagues,hiring [9] hiring,please [9] please,help [9] help,find [9] find,next [9] next,manager [9] manager,learning [9] eval,vancouverfdn Top Word Pairs in Tweet in G3:
[21] little,journey [21] journey,better [21] better,educating [21] educating,myself [21] myself,indigenous [21] indigenous,equitableevaluation [21] equitableevaluation,here [21] here,9 [21] 9,questions [20] evaluationmaven,little Top Word Pairs in Tweet in G4:
[11] evaluation,eval [8] check,out [8] nm,evaluators [8] 2019,annual [8] annual,azenet [8] azenet,conference [7] eval,arizona [6] evaluators,interested [6] interested,role [6] role,values Top Word Pairs in Tweet in G5:
[16] evaluationafdb,evaluationmatters [14] 1,2019 [10] evaluationmatters,quarter [10] quarter,1 [10] 2019,best [10] best,practices [10] practices,innovations [10] innovations,evaluation [10] evaluation,call [10] call,contributions Top Word Pairs in Tweet in G6:
[11] out,now [11] now,line [11] line,evaluation [11] evaluation,program [11] program,planning [11] planning,epp [11] epp,using [11] using,mixed [11] mixed,method [11] method,approach Top Word Pairs in Tweet in G7:
[6] day,unfpa [6] unfpa,works [6] works,endfgm [6] endfgm,look [6] look,out [6] out,fgmeval [6] fgmeval,upcoming [6] upcoming,joint [6] joint,evaluation [6] evaluation,w Top Word Pairs in Tweet in G8:
[10] boxing,eval [7] mean,'un [7] 'un,box' [7] box',evaluation [7] evaluation,blog [7] blog,jadefmaloney [7] jadefmaloney,1st [7] 1st,series [7] series,boxing [6] bettereval,mean Top Word Pairs in Tweet in G9:
[5] evaluation,eval [2] onthejob,training [2] eval,evaluation [2] meat,kitchen [2] kitchen,eval [2] eval,blade [2] phdchat,phdlife [2] eval,geek Top Word Pairs in Tweet in G10:
[5] aarpincome's,sifund [3] women,over [3] over,50 [3] now,opre_ssrc [3] opre_ssrc,social_policy [3] social_policy,eval [3] eval,w [3] w,anne_paprocki [3] anne_paprocki,madeleinelevin [3] madeleinelevin,others 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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