The graph represents a network of 512 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, 19 November 2019 at 16:14 UTC.
The requested start date was Tuesday, 19 November 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, 15-hour, 18-minute period from Tuesday, 05 November 2019 at 01:15 UTC to Monday, 18 November 2019 at 16:34 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 : 512
Unique Edges : 894
Edges With Duplicates : 498
Total Edges : 1392
Number of Edge Types : 3
Mentions : 1168
Tweet : 191
Replies to : 33
Self-Loops : 191
Reciprocated Vertex Pair Ratio : 0.0907103825136612
Reciprocated Edge Ratio : 0.166332665330661
Connected Components : 41
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 416
Maximum Edges in a Connected Component : 1260
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.746742
Graph Density : 0.00381451810176125
Modularity : 0.455979
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 512 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, 19 November 2019 at 16:14 UTC.
The requested start date was Tuesday, 19 November 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, 15-hour, 18-minute period from Tuesday, 05 November 2019 at 01:15 UTC to Monday, 18 November 2019 at 16:34 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[50] #eval,#evaluation [49] learn,more [44] contribution,analysis [43] #eval,#eval19 [43] impact,evaluations [43] evaluations,using [42] apply,now [42] analysis,short [42] short,course [42] course,learn Top Word Pairs in Tweet in G1:
[22] #eval,#eval19 [14] e,g [13] #eval19,#eval [13] #eval19,#evaluation [12] closing,plenary [11] research,#eval [11] set,out [11] #eval,use [10] business,meeting [10] culturally,responsive Top Word Pairs in Tweet in G2:
[11] beyond,excited [10] dear,#eval19 [10] #eval19,m [10] m,beyond [10] excited,share [10] share,#eval [10] #eval,job [10] job,team [10] team,went [10] went,online Top Word Pairs in Tweet in G3:
[9] os,recordamos [9] recordamos,queda [9] queda,jueves [9] jueves,hablaremos [9] hablaremos,promover [9] promover,uso [9] uso,evaluaciones [9] evaluaciones,compaã [9] compaã,eras [9] being,responsive Top Word Pairs in Tweet in G4:
[15] keynote,address [15] aea,president [15] president,tessiecatsambas [13] look,speaking [13] speaking,eval_youth [13] eval_youth,virtual [13] virtual,conference [13] conference,investment [13] investment,young [10] young,people Top Word Pairs in Tweet in G5:
[41] contribution,analysis [39] apply,now [39] analysis,short [39] short,course [39] course,learn [39] learn,more [39] more,effectively [39] effectively,design [39] design,impact [39] impact,evaluations Top Word Pairs in Tweet in G6:
[36] #evaljobs,#eval [36] #eval,#evaluation [24] united,states [24] states,#evaljobs [7] monitoring,evaluation [6] hiring,senior [6] london,united [6] united,kingdom [6] canada,#evaljobs [6] hiring,data Top Word Pairs in Tweet in G7:
[10] great,part [10] part,#eval [10] #eval,learning [10] learning,event [10] event,today [10] today,unicef [10] re,excited [10] excited,share [10] share,role [10] role,#partnerships Top Word Pairs in Tweet in G8:
[4] https,t [4] t,co [4] #sbir,#grants [4] #grants,#eval [4] #eval,#entrepreneur [4] #entrepreneur,#startups [3] social,media [2] due,out [2] ready,apply [2] funding,https Top Word Pairs in Tweet in G9:
[4] low,cost [4] city,government [3] happening,now [3] now,talking [3] talking,#nudges [3] #nudges,low [3] cost,city [3] government,#eval [3] #eval,brendanbabb [3] brendanbabb,emily Top Word Pairs in Tweet in G10:
[4] hey,#oregon [4] #oregon,evaluators [4] evaluators,monday [4] monday,program [4] program,evaluators [4] evaluators,network [4] network,hosting [4] hosting,event [4] event,help [4] help,tune Top Replied-To in Entire Graph:
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Top Replied-To in G9:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: