The graph represents a network of 2,729 Twitter users whose tweets in the requested range contained "govtech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 21 December 2021 at 00:26 UTC.
The requested start date was Monday, 20 December 2021 at 01:01 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, 22-hour, 19-minute period from Monday, 06 December 2021 at 02:27 UTC to Monday, 20 December 2021 at 00:47 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 : 2729
Unique Edges : 2242
Edges With Duplicates : 8216
Total Edges : 10458
Number of Edge Types : 5
Retweet : 3075
MentionsInRetweet : 4322
Mentions : 1439
Tweet : 1509
Replies to : 113
Self-Loops : 1641
Reciprocated Vertex Pair Ratio : 0.0482758620689655
Reciprocated Edge Ratio : 0.0921052631578947
Connected Components : 588
Single-Vertex Connected Components : 414
Maximum Vertices in a Connected Component : 1648
Maximum Edges in a Connected Component : 8906
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.360342
Graph Density : 0.000490012239560107
Modularity : 0.331345
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,729 Twitter users whose tweets in the requested range contained "govtech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 21 December 2021 at 00:26 UTC.
The requested start date was Monday, 20 December 2021 at 01:01 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, 22-hour, 19-minute period from Monday, 06 December 2021 at 02:27 UTC to Monday, 20 December 2021 at 00:47 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 : govtech
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:
[534] #aml,#crypto [432] #csr,#corpgov [414] #insurtech,#fintech [403] #corpgov,#aml [403] #crypto,#finserv [403] #finserv,#wef [403] #wef,#datagovernance [399] #datagovernance,#futureofwork [392] #futureofwork,#insurtech [388] #ces,#fintech Top Word Pairs in Tweet in G1:
[104] á,á [45] ãƒ,ム[34] government,technology [32] zero,trust [26] public,sector [26] fbi,aiming [26] aiming,involve [26] involve,itself [26] itself,legislation [26] legislation,decisions Top Word Pairs in Tweet in G2:
[534] #aml,#crypto [432] #csr,#corpgov [414] #insurtech,#fintech [403] #corpgov,#aml [403] #crypto,#finserv [403] #finserv,#wef [403] #wef,#datagovernance [399] #datagovernance,#futureofwork [392] #futureofwork,#insurtech [387] #fintech,#regtech Top Word Pairs in Tweet in G3:
[51] govtechnews,#cdwsocial [51] #cybersecurity,#artificialintelligence [51] help,harm [50] comes,#cybersecurity [50] #artificialintelligence,integration [50] integration,help [50] harm,#federalagencies [30] state,local [26] passing,#infrastructure [26] #infrastructure,bill Top Word Pairs in Tweet in G4:
[57] #govtech,ukauthority [41] blackberry,vp [39] takes,years [39] years,build [39] build,sterling [39] sterling,reputation [39] reputation,few [39] few,unfortunate [39] unfortunate,clicks [39] clicks,tarnish Top Word Pairs in Tweet in G5:
[114] ciudades,inteligentes [101] premio,ciudades [96] inteligentes,govtech [39] reciarg,govtechar [38] ganadoras,premio [34] ciudades,digitales [33] premios,ciudades [30] organizado,princeconsul [29] princeconsul,reciarg [26] govtech,organizado Top Word Pairs in Tweet in G6:
[252] ãƒ,ム[35] šæ,ªã [35] ªã,ム[35] ãƒ,œæ [35] œæ,ム[35] ãƒ,åœ [35] åœ,ƒã [35] ƒã,ˆã [35] ˆã,œgovtech [35] œgovtech,meetupã Top Word Pairs in Tweet in G7:
[29] women,govtech [24] incredible,women [23] women,around [23] around,globe [21] seven,undpacclabs [21] undpacclabs,#explorers [21] #explorers,join [21] join,govinsider [21] govinsider,list [21] list,incredible Top Word Pairs in Tweet in G8:
[12] next,year [10] #govtech,#podcast [8] open,source [8] vortrag,okr [8] okr,öffentlichen [8] öffentlichen,verwaltung [8] verwaltung,youragilizer [8] youragilizer,event [8] event,25 [8] 25,11 Top Word Pairs in Tweet in G9:
[16] #gio,#govtech [12] #esri,#arcgis [11] #govtech,#gis [10] dec,2021 [9] esrifederalgovt,esrislgov [7] esri,esrifederalgovt [7] #gis,#esri [6] #cio,#cto [6] #cto,#gio [5] #govtech,#esri Top Word Pairs in Tweet in G10:
[50] #government,agency [44] #govtech,#digitaltransformation [26] read,#blog [19] find,#govtech [16] #digitaltransformation,#technology [12] government,technology [11] #blog,find [11] watch,presentation [10] #govtech,#statelocalit [10] #blog,learn Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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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 G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: