The graph represents a network of 243 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, 10 May 2022 at 17:00 UTC.
The requested start date was Tuesday, 10 May 2022 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, 9-hour, 9-minute period from Tuesday, 26 April 2022 at 06:40 UTC to Monday, 09 May 2022 at 15:50 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 : 243
Unique Edges : 256
Edges With Duplicates : 612
Total Edges : 868
Number of Edge Types : 5
Retweet : 260
MentionsInRetweet : 420
Mentions : 128
Tweet : 53
Replies to : 7
Self-Loops : 54
Reciprocated Vertex Pair Ratio : 0.0700218818380744
Reciprocated Edge Ratio : 0.130879345603272
Connected Components : 23
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 192
Maximum Edges in a Connected Component : 784
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.50058
Graph Density : 0.00831547801244771
Modularity : 0.400045
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 243 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, 10 May 2022 at 17:00 UTC.
The requested start date was Tuesday, 10 May 2022 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, 9-hour, 9-minute period from Tuesday, 26 April 2022 at 06:40 UTC to Monday, 09 May 2022 at 15:50 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:
[25] youth,evaluation [25] evaluation,calls [25] calls,upon [25] upon,evaluators [25] evaluators,#eval [25] #eval,commissioners [25] commissioners,users [25] users,sign [25] sign,manifesto [25] manifesto,committing Top Word Pairs in Tweet in G1:
[24] youth,evaluation [24] evaluation,calls [24] calls,upon [24] upon,evaluators [24] evaluators,#eval [24] #eval,commissioners [24] commissioners,users [24] users,sign [24] sign,manifesto [24] manifesto,committing Top Word Pairs in Tweet in G2:
[15] evelyn,burnett [15] burnett,evburnett [9] #eers22,#eval [9] evburnett,3rdspacecle [7] #eers22,attendees [7] #eval,service [7] 3rdspacecle,encourages [7] encourages,explore [7] explore,narratives [7] narratives,identities Top Word Pairs in Tweet in G3:
[12] country,led [9] wfp_evaluation,#evalpartners10years [8] sdg2030,goals [7] #evalpartners10years,promoting [7] promoting,country [7] led,#eval [7] #eval,sdg2030 [6] digital,principles [5] led,evaluation [5] digiprinciples,join Top Word Pairs in Tweet in G4:
[9] episode,ayeshaboyce [9] ayeshaboyce,chat [9] chat,#eval [9] #eval,job [9] job,market [9] market,ton [9] ton,great [9] great,tips [9] tips,networking [9] networking,getting Top Word Pairs in Tweet in G5:
[8] miss,chance [8] chance,take [8] take,encompass_world [8] encompass_world,course [8] course,facilitating [8] facilitating,#evaluation [8] #evaluation,mquinnp [8] mquinnp,module [7] btahmassebi,miss [7] module,#onlinecl Top Word Pairs in Tweet in G6:
[8] footprint,evaluation [6] webinar,thursday [6] thursday,footprint [6] evaluation,identifying [6] identifying,points [6] points,nexus [6] nexus,between [6] between,human [6] human,natural [6] natural,systems Top Word Pairs in Tweet in G7:
[3] excited,webinar [3] webinar,#eval [3] #eval,#evaluation [3] #evaluation,#idleg [3] #idleg,idaho_ope [3] idaho_ope,aspanational [3] aspanational,ncslorg [3] ncslorg,aeaweb [3] aeaweb,greenebarrett [2] aea,members Top Word Pairs in Tweet in G8:
[4] national,evaluation [4] evaluation,capacity [4] capacity,key [4] key,countries [4] countries,progress [4] progress,towards [4] towards,achievement [4] achievement,#sdgs [4] #sdgs,#un [4] #un,system Top Word Pairs in Tweet in G9:
[8] mae's,27th [8] 27th,annual [8] annual,conference [6] equitable,evaluation [4] week,away [4] away,mae's [4] conference,promise [4] promise,practice [4] practice,filling [4] filling,equitable Top Word Pairs in Tweet in G10:
[2] #eval,#evaluation [2] #drshannoncurry,#expert [2] #expert,#independent [2] #independent,#eval [2] #eval,nailedheard [2] nailedheard,#borderlinepersonalitydisorder [2] #borderlinepersonalitydisorder,#histrionicpersonalitydisorder [2] #funding,#21stcenturylearning [2] #21stcenturylearning,#21cclc [2] #21cclc,#nys Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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 G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: