The graph represents a network of 88 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, 13 September 2022 at 17:00 UTC.
The requested start date was Tuesday, 13 September 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, 10-hour, 5-minute period from Tuesday, 30 August 2022 at 03:53 UTC to Monday, 12 September 2022 at 13:58 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 : 88
Unique Edges : 50
Edges With Duplicates : 108
Total Edges : 158
Number of Edge Types : 5
Retweet : 42
MentionsInRetweet : 51
Tweet : 38
Mentions : 24
Replies to : 3
Self-Loops : 38
Reciprocated Vertex Pair Ratio : 0.0694444444444444
Reciprocated Edge Ratio : 0.12987012987013
Connected Components : 26
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 12
Maximum Edges in a Connected Component : 33
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 1.725275
Graph Density : 0.0100574712643678
Modularity : 0.501853
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 88 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, 13 September 2022 at 17:00 UTC.
The requested start date was Tuesday, 13 September 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, 10-hour, 5-minute period from Tuesday, 30 August 2022 at 03:53 UTC to Monday, 12 September 2022 at 13:58 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:
[9] #eval,#evaluation [9] principles,focused [8] focused,#evaluation [8] #evaluation,makes [8] makes,program [8] program,principles [8] principles,focus [8] focus,evaluation [8] evaluation,learn [8] learn,apply Top Word Pairs in Tweet in G1:
[8] principles,focused [8] focused,#evaluation [8] #evaluation,makes [8] makes,program [8] program,principles [8] principles,focus [8] focus,evaluation [8] evaluation,learn [8] learn,apply [7] btahmassebi,principles Top Word Pairs in Tweet in G2:
[3] presentation,focus [3] focus,alternative [3] alternative,options [3] options,visualizing [3] visualizing,change [3] change,between [3] between,two [3] two,points [3] points,time [3] time,go Top Word Pairs in Tweet in G3:
[3] developmental,evaluation [2] #eval,#evaluation [2] #young,#emerging [2] #emerging,#evaluators [2] #evaluators,#projects [2] #projects,#evaluation [2] #evaluation,#based [2] #based,#results [2] #results,#management [2] #management,#suivi Top Word Pairs in Tweet in G5:
[7] read,article [7] article,'closing [7] 'closing,#learning [7] #learning,#feedback [7] #feedback,gaps [7] gaps,evaluations' [7] evaluations',published [7] published,evaluation [7] evaluation,matters [7] matters,evaluationafdb Top Word Pairs in Tweet in G6:
[2] please,share [2] share,#eval [2] #eval,networks [2] networks,looking [2] looking,#evaluator [2] #evaluator,#peru [2] #peru,#counteringwildlifettrafficking Top Word Pairs in Tweet in G7:
[4] #impact,#eval [4] #evidence,based [4] based,#philanthropy [4] #philanthropy,foundation [4] foundation,practice [4] practice,rating [4] rating,discussed [3] carolinefiennes,#evidence [3] discussed,bot [2] #charity,#development Top Word Pairs in Tweet in G8:
[3] #eval,#evaluation [3] great,see [3] see,sharing [3] sharing,lessons [3] lessons,learned [3] learned,#rapid [3] #rapid,evaluation [3] evaluation,#aes22adl [3] #aes22adl,see [3] see,more Top Word Pairs in Tweet in G9:
[2] still,need [2] need,better [2] better,data [2] data,systems [2] systems,measure [2] measure,#eval [2] #eval,uate [2] uate,impacts [2] impacts,policy [2] policy,change Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G4:
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Top Mentioned in G6:
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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 G10: