The graph represents a network of 349 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, 07 July 2020 at 15:33 UTC.
The requested start date was Tuesday, 07 July 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, 15-hour, 29-minute period from Tuesday, 23 June 2020 at 01:33 UTC to Monday, 06 July 2020 at 17:03 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 : 349
Unique Edges : 478
Edges With Duplicates : 1163
Total Edges : 1641
Number of Edge Types : 5
Retweet : 414
MentionsInRetweet : 781
Mentions : 344
Tweet : 78
Replies to : 24
Self-Loops : 90
Reciprocated Vertex Pair Ratio : 0.0910224438902743
Reciprocated Edge Ratio : 0.166857142857143
Connected Components : 25
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 302
Maximum Edges in a Connected Component : 1537
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.49912
Graph Density : 0.00720449230971907
Modularity : 0.337519
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 349 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, 07 July 2020 at 15:33 UTC.
The requested start date was Tuesday, 07 July 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, 15-hour, 29-minute period from Tuesday, 23 June 2020 at 01:33 UTC to Monday, 06 July 2020 at 17:03 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:
[46] gt,gt [35] #eval,#evaluation [33] regional,consultation [32] #eval4action,regional [30] consultation,evaluators [27] #eval,turbulent [27] turbulent,uncertain [27] uncertain,future [27] future,adaptable [27] adaptable,connect Top Word Pairs in Tweet in G1:
[40] gt,gt [27] #eval4action,regional [27] regional,consultation [24] consultation,evaluators [24] #eval,turbulent [24] turbulent,uncertain [24] uncertain,future [24] future,adaptable [24] adaptable,connect [24] connect,#sdgs Top Word Pairs in Tweet in G2:
[9] monthly,prompt [9] prompt,time [9] time,extending [9] extending,conversation [9] conversation,values [9] values,ask [9] ask,question [9] question,jdeancoffey [8] radreimagining,monthly [8] jdeancoffey,thi Top Word Pairs in Tweet in G3:
[16] #covid19,response [12] #covid19,pandemic [9] supporting,#covid19 [9] response,effectively [9] effectively,evaluation [9] evaluation,fit [9] fit,ruths3 [9] ruths3,shares [9] shares,lessons [9] lessons,#eval Top Word Pairs in Tweet in G4:
[19] tgarchibald,published [19] published,book [19] book,review [19] review,donnapodems [19] donnapodems,'being [19] 'being,evaluator [19] evaluator,practical [19] practical,guide [19] guide,evaluation' [19] evaluation',aeaweb Top Word Pairs in Tweet in G5:
[6] much,more [5] #eval,#evaluation [5] know,cjpe [5] cjpe,publishes [5] publishes,full [5] full,length [5] length,articles [5] articles,aspects [5] aspects,theory [5] theory,practice Top Word Pairs in Tweet in G6:
[4] #eval,#evaluation [2] office,hours [2] un_evaluation,undp_evaluation [2] undp,support [2] support,#healthsector Top Word Pairs in Tweet in G7:
[11] shan0133,khalilbitar [6] khalilbitar,choo_ek [5] 3rdcultureme,shan0133 [3] look,fwd [3] thought,leaders [3] programs,study [3] study,#eval [3] khalilbitar,sawsan_alzatari [2] come,weave [2] weave,#eval Top Word Pairs in Tweet in G8:
[4] miss,webinar [4] webinar,tomorrow [4] tomorrow,pm [4] pm,use [4] use,data [4] data,racist [4] racist,datassist [4] datassist,abmakulec [4] abmakulec,datavizdc [3] evalacademy,miss Top Word Pairs in Tweet in G9:
[8] team,working [8] working,understand [8] understand,#covid19 [8] #covid19,health [8] health,disparities [8] disparities,support [8] support,orgs [8] orgs,fighting [8] fighting,#racialjustice [8] #racialjustice,continue Top Word Pairs in Tweet in G10:
[3] great,guide [3] guide,fsgtweets [3] fsgtweets,instructions [3] instructions,facilitating [3] facilitating,21 [3] 21,intentional [3] intentional,group [3] group,learning [3] learning,activities [3] activities,#eval Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G10: