The graph represents a network of 250 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, 16 June 2020 at 15:33 UTC.
The requested start date was Tuesday, 16 June 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, 8-minute period from Tuesday, 02 June 2020 at 00:43 UTC to Monday, 15 June 2020 at 19:51 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 : 250
Unique Edges : 212
Edges With Duplicates : 507
Total Edges : 719
Number of Edge Types : 5
Retweet : 203
MentionsInRetweet : 317
Mentions : 117
Tweet : 70
Replies to : 12
Self-Loops : 71
Reciprocated Vertex Pair Ratio : 0.0727762803234501
Reciprocated Edge Ratio : 0.135678391959799
Connected Components : 21
Single-Vertex Connected Components : 10
Maximum Vertices in a Connected Component : 198
Maximum Edges in a Connected Component : 635
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.640325
Graph Density : 0.00639357429718876
Modularity : 0.418641
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 250 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, 16 June 2020 at 15:33 UTC.
The requested start date was Tuesday, 16 June 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, 8-minute period from Tuesday, 02 June 2020 at 00:43 UTC to Monday, 15 June 2020 at 19:51 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 G2:
[14] white,evaluators [10] live,white [10] white,dominant [10] dominant,society [10] society,difficult [10] difficult,white [10] evaluators,examine [10] examine,means [10] danawanzer,live [9] come,join Top Word Pairs in Tweet in G3:
[9] both,#covid19 [8] #covid19,#climatechange [8] #climatechange,global [8] #eval,evidence [8] evidence,#transformsystems [8] #transformsystems,find [8] undp_evaluation,both [8] last,#glocaleval2020 [7] #glocaleval2020,webinar [6] wrapped,#glocaleval2020 Top Word Pairs in Tweet in G4:
[8] current,debate [8] debate,social [8] social,justice [8] justice,racism [8] racism,values [8] values,change [7] change,activism [6] activism,#eval [6] #eval,outside [5] outside,good Top Word Pairs in Tweet in G5:
[4] afghan_eval,joining [4] joining,#eval4action [4] #eval4action,believe [4] believe,contribution [4] contribution,#eval [4] #eval,public [4] public,policy [4] policy,making [4] making,during [4] unfpa_eval,afghan_eval Top Word Pairs in Tweet in G6:
[19] respondent,one [19] one,surveys [19] surveys,article [19] article,solutions [19] solutions,common [19] common,issues [19] starting,scratch [19] scratch,#evaluation [19] #evaluation,evaluation [18] evaluation,plan Top Word Pairs in Tweet in G7:
[4] here's,thought [4] thought,evaluators [4] evaluators,added [4] added,two [4] two,standard [4] standard,#eval [3] #eval,questions [3] questions,#evaluation [3] evaluationmaven,here's [3] #evaluation,weâ Top Word Pairs in Tweet in G8:
[10] istanbul,kartal [10] kartal,uğurmumcu [10] uğurmumcu,sahibinden [10] sahibinden,tertemiz [10] tertemiz,masrafsız [10] masrafsız,130 [10] 130,m2 [10] m2,daire [9] daire,#istanbul [8] #istanbul,#kartal Top Word Pairs in Tweet in G9:
[2] registration,still [2] still,open [2] open,tomorrow's [2] tomorrow's,student [2] student,#eval [2] #eval,case [2] case,comp [2] comp,30 [2] 30,edt [2] edt,join Top Word Pairs in Tweet in G10:
[3] read,makiyah [3] makiyah,moody [3] moody,lapianaconsult [3] lapianaconsult,interviewing [3] interviewing,angelique1971 [3] angelique1971,fieldfoundation [3] fieldfoundation,describing [3] describing,mind [3] trilbysmith,read [3] mind,blow Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: