The graph represents a network of 232 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, 23 June 2020 at 15:33 UTC.
The requested start date was Tuesday, 23 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, 10-hour, 12-minute period from Tuesday, 09 June 2020 at 09:12 UTC to Monday, 22 June 2020 at 19:24 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 : 232
Unique Edges : 267
Edges With Duplicates : 435
Total Edges : 702
Number of Edge Types : 5
Mentions : 128
Retweet : 177
MentionsInRetweet : 333
Tweet : 52
Replies to : 12
Self-Loops : 58
Reciprocated Vertex Pair Ratio : 0.0767263427109974
Reciprocated Edge Ratio : 0.142517814726841
Connected Components : 19
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 194
Maximum Edges in a Connected Component : 647
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.500952
Graph Density : 0.00785565009702941
Modularity : 0.42741
NodeXL Version : 1.0.1.435
Data Import : The graph represents a network of 232 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, 23 June 2020 at 15:33 UTC.
The requested start date was Tuesday, 23 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, 10-hour, 12-minute period from Tuesday, 09 June 2020 at 09:12 UTC to Monday, 22 June 2020 at 19:24 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:
[21] #eval,#evaluation [21] afghan_eval,joining [21] joining,#eval4action [21] #eval4action,believe [21] believe,contribution [21] contribution,#eval [21] #eval,public [21] public,policy [21] policy,making [21] making,during Top Word Pairs in Tweet in G1:
[20] afghan_eval,joining [20] joining,#eval4action [20] #eval4action,believe [20] believe,contribution [20] contribution,#eval [20] #eval,public [20] public,policy [20] policy,making [20] making,during [19] unfpa_eval,afghan_eval Top Word Pairs in Tweet in G2:
[13] white,fragility [10] white,supremacy [10] supremacy,white [9] here's,link [9] link,clysy [9] clysy,talking [9] talking,whiteness [9] whiteness,white [9] fragility,#eval [9] #eval,beyond Top Word Pairs in Tweet in G3:
[5] fitting,az_eval_network [5] az_eval_network,week [5] week,#aea365 [5] #aea365,really [5] really,boiled [5] boiled,down [5] down,connection [5] connection,sharing [5] sharing,knowledge [4] month,reflecting Top Word Pairs in Tweet in G4:
[7] come,join [6] join,research [6] research,#eval [6] webinar,research [6] research,collaboration [6] collaboration,isee [6] isee,share [6] share,research [5] #eval,#evaluation [4] #eval,teaching Top Word Pairs in Tweet in G5:
[7] tools,methods [7] methods,recommend [7] recommend,evaluating [7] evaluating,contexts [7] contexts,fragility [7] fragility,crisis [7] crisis,conflict [7] conflict,violence [7] violence,below [6] hurhassnain,tools Top Word Pairs in Tweet in G6:
[4] #eval,#evaluation [4] use,case [2] still,time [2] time,register [2] register,remaining [2] remaining,digital [2] digital,workshops [2] workshops,summer [2] summer,series [2] series,workshops Top Word Pairs in Tweet in G7:
[4] read,makiyah [4] makiyah,moody [4] moody,lapianaconsult [4] lapianaconsult,interviewing [4] interviewing,angelique1971 [4] angelique1971,fieldfoundation [4] fieldfoundation,describing [4] describing,mind [4] trilbysmith,read [3] mind,blow Top Word Pairs in Tweet in G8:
[5] well,#evaluation [5] #evaluation,highlight [5] highlight,fundamental [5] fundamental,flaw [5] flaw,#policy's [5] #policy's,implicit [5] implicit,#theoryofchange [5] #theoryofchange,skip [5] skip,over [4] ejanedavidson,well Top Word Pairs in Tweet in G9:
[3] registration,still [3] still,open [3] open,tomorrow's [3] tomorrow's,student [3] student,#eval [3] #eval,case [3] case,comp [3] comp,30 [3] 30,edt [3] edt,join Top Word Pairs in Tweet in G10:
[2] evalcafe,alignedimpact [2] alignedimpact,great [2] great,subject [2] subject,great [2] great,#eval [2] #eval,uative [2] uative,thinking [2] thinking,seen [2] seen,leadership [2] leadership,competency 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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