The graph represents a network of 1,351 Twitter users whose tweets in the requested range contained "civictech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 31 October 2019 at 21:12 UTC.
The requested start date was Thursday, 31 October 2019 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, 22-hour, 1-minute period from Thursday, 17 October 2019 at 00:06 UTC to Wednesday, 30 October 2019 at 22:07 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 : 1351
Unique Edges : 2189
Edges With Duplicates : 683
Total Edges : 2872
Number of Edge Types : 3
Mentions : 2538
Tweet : 289
Replies to : 45
Self-Loops : 289
Reciprocated Vertex Pair Ratio : 0.0738798856053384
Reciprocated Edge Ratio : 0.137594318686196
Connected Components : 144
Single-Vertex Connected Components : 42
Maximum Vertices in a Connected Component : 788
Maximum Edges in a Connected Component : 2106
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.477516
Graph Density : 0.00123529895550621
Modularity : 0.680462
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,351 Twitter users whose tweets in the requested range contained "civictech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 31 October 2019 at 21:12 UTC.
The requested start date was Thursday, 31 October 2019 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, 22-hour, 1-minute period from Thursday, 17 October 2019 at 00:06 UTC to Wednesday, 30 October 2019 at 22:07 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 : civictech
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:
[51] #govtech,#civictech [44] civic,tech [34] lost,civic [34] civic,giant [34] giant,carlvlewis [34] carlvlewis,carl [34] carl,moral [34] moral,clarity [34] clarity,passion [34] passion,someone Top Word Pairs in Tweet in G1:
[33] lost,civic [33] civic,giant [33] giant,carlvlewis [33] carlvlewis,carl [33] carl,moral [33] moral,clarity [33] clarity,passion [33] passion,someone [33] someone,whose [33] whose,sole Top Word Pairs in Tweet in G2:
[33] #civictech,#opengovtech [33] #opengovtech,#opengovernment [33] #opengovernment,#digitaltransformation [22] #hackathon,#tallinn [16] code,canada [15] autotweet,#events [15] activiteit,aanmelden [15] aanmelden,kijk [15] kijk,op [15] op,site Top Word Pairs in Tweet in G3:
[14] come,#decidimfest [14] #decidimfest,join [14] join,panel [14] panel,maitels [14] maitels,rosaborgeb [14] rosaborgeb,schulbaumo [14] schulbaumo,x [14] x,barandiaran [14] barandiaran,frontiers [13] elaragon,come Top Word Pairs in Tweet in G4:
[23] #govtech,#civictech [19] #stir,#govtech [19] read,more [19] more,here [18] big,announcement [18] announcement,now [18] now,accepting [18] accepting,applications [18] applications,new [18] new,group Top Word Pairs in Tweet in G5:
[18] state,#digitalrights [18] #digitalrights,africa [18] africa,rest [18] rest,world [18] world,#fifafrica [18] #fifafrica,#internetfreedom [18] #internetfreedom,small_media [15] digital,parliamentary [15] parliamentary,monitoring [15] monitoring,platforms Top Word Pairs in Tweet in G6:
[7] par,les [7] menée,auprès [7] nous,sommes [7] #civictech,pour [5] campagnes,électorales [5] présentation,#concertation [5] #concertation,menée [5] auprès,des [5] des,jeunes [5] jeunes,sur Top Word Pairs in Tweet in G7:
[4] civic,tech [3] https,t [3] t,co [2] public,sector [2] create,more [2] #civictech,#democracy [2] digital,government [2] vivvostudios,#sponsor [2] more,transparent [2] #シビックテック,#オープンデータ Top Word Pairs in Tweet in G8:
[13] #civictech,challenge [12] #thinkchicago,#chicagoideas [11] #chicagoideas,week [11] week,2019 [7] today,awesome [7] awesome,day [7] day,1 [7] 1,#thinkchicago [7] 2019,included [7] included,chicagoideas Top Word Pairs in Tweet in G9:
[24] #spaceapps,#spaceappsankara [24] #spaceappsankara,#nasa [20] #nasa,#nasankara [14] survey,finds [14] finds,use [14] use,#ai [14] #ai,poised [14] poised,grow [14] grow,state [14] state,government Top Word Pairs in Tweet in G10:
[15] check,out [15] out,biancawylie [15] biancawylie,nasma_ahmed [15] nasma_ahmed,mattewclaudel [15] mattewclaudel,zahraeb [15] zahraeb,cristoforodouc [15] cristoforodouc,curated [15] curated,book [15] book,public [15] public,policy Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: