The graph represents a network of 354 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, 24 December 2019 at 18:57 UTC.
The requested start date was Tuesday, 24 December 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, 22-hour, 40-minute period from Tuesday, 10 December 2019 at 01:57 UTC to Tuesday, 24 December 2019 at 00:37 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 : 354
Unique Edges : 549
Edges With Duplicates : 259
Total Edges : 808
Number of Edge Types : 4
Mentions : 208
MentionsInRetweet : 482
Tweet : 107
Replies to : 11
Self-Loops : 107
Reciprocated Vertex Pair Ratio : 0.0705009276437848
Reciprocated Edge Ratio : 0.131715771230503
Connected Components : 33
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 286
Maximum Edges in a Connected Component : 718
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 4.224245
Graph Density : 0.00461740369072198
Modularity : 0.573737
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 354 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, 24 December 2019 at 18:57 UTC.
The requested start date was Tuesday, 24 December 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, 22-hour, 40-minute period from Tuesday, 10 December 2019 at 01:57 UTC to Tuesday, 24 December 2019 at 00:37 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:
[56] #eval,winter [56] winter,school [38] #eval,#evaluation [33] congrats,oecd_evalnet [33] oecd_evalnet,revisions [33] revisions,#oecddac [33] #oecddac,#evalcriteria [33] #evalcriteria,announced [33] announced,#necdev [33] #necdev,ve Top Word Pairs in Tweet in G1:
[17] use,research [17] research,evidence [17] evidence,embedded [17] embedded,systems [17] systems,power [17] power,system [17] system,power [17] power,david [17] david,kirkland [16] danawanzer,use Top Word Pairs in Tweet in G2:
[28] congrats,oecd_evalnet [28] oecd_evalnet,revisions [28] revisions,#oecddac [28] #oecddac,#evalcriteria [28] #evalcriteria,announced [28] announced,#necdev [28] #necdev,ve [28] ve,adopted [27] undp_evaluation,congrats [4] leave,stakeholder Top Word Pairs in Tweet in G3:
[54] #eval,winter [54] winter,school [33] mena,#eval [12] school,#yees [11] launching,mena [11] #yees,partnership [11] partnership,unfpa_arabic [11] unfpa_arabic,regional [11] regional,director [11] director,shabanehluay Top Word Pairs in Tweet in G4:
[23] wow,tons [23] tons,people [23] people,africa [23] africa,run [23] run,#impact [23] #impact,#evaluation [23] #evaluation,study [23] study,found [23] found,520 [23] 520,african Top Word Pairs in Tweet in G5:
[21] united,states [20] #evaljobs,#eval [19] #eval,#evaluation [15] states,#evaljobs [8] hiring,research [6] hiring,director [5] tainitiative,rfp [5] rfp,evaluative [5] evaluative,assessment [5] assessment,whether Top Word Pairs in Tweet in G6:
[7] arnold_ventures,assertion [7] assertion,today [7] today,non [7] non,experimental [7] experimental,#evaluation [7] #evaluation,designs [7] designs,unreliable [7] unreliable,demonstrates [7] demonstrates,remarkable [7] remarkable,lack Top Word Pairs in Tweet in G7:
[5] conoce,#eval [5] #eval,app [5] app,ayuda [5] ayuda,saber [5] saber,#planorama [5] #planorama,layout [5] layout,diseñaste [5] diseñaste,tus [5] tus,tiendas [5] tiendas,cumpliendo Top Word Pairs in Tweet in G8:
[9] evaluationbc,miss [6] miss,kasra_ha's [6] kasra_ha's,session [6] session,#evalbc2020 [6] #evalbc2020,scaling [6] scaling,#eval [6] #eval,multi [6] multi,component [6] component,provincial [6] provincial,initiative Top Word Pairs in Tweet in G9:
[3] exciting,awards [3] awards,recognition [3] recognition,#eval [3] #eval,#profession [3] #profession,accra [3] accra,ghana [3] ghana,forum_gmef [3] forum_gmef,tweet_afrea [3] tweet_afrea,africa_evidence [2] ideal,number Top Word Pairs in Tweet in G10:
[7] capacités,organisationnelles [7] organisationnelles,#eval [7] #eval,organismes [7] organismes,communautaires [7] communautaires,intéressent [7] intéressent,voici [7] voici,nouvel [7] nouvel,article [6] eval_station,capacités [6] article,qu Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
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:
Top Tweeters in G6:
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Top Tweeters in G10: