The graph represents a network of 3,469 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 Monday, 10 May 2021 at 23:25 UTC.
The requested start date was Monday, 10 May 2021 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 12-day, 20-hour, 51-minute period from Tuesday, 27 April 2021 at 03:05 UTC to Sunday, 09 May 2021 at 23:56 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 : 3469
Unique Edges : 3690
Edges With Duplicates : 14921
Total Edges : 18611
Number of Edge Types : 5
Mentions : 2659
Retweet : 5176
MentionsInRetweet : 9479
Tweet : 1106
Replies to : 191
Self-Loops : 1183
Reciprocated Vertex Pair Ratio : 0.027304319046831
Reciprocated Edge Ratio : 0.0531572164948454
Connected Components : 538
Single-Vertex Connected Components : 308
Maximum Vertices in a Connected Component : 2095
Maximum Edges in a Connected Component : 16265
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.629196
Graph Density : 0.000516022121123558
Modularity : 0.299297
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,469 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 Monday, 10 May 2021 at 23:25 UTC.
The requested start date was Monday, 10 May 2021 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 12-day, 20-hour, 51-minute period from Tuesday, 27 April 2021 at 03:05 UTC to Sunday, 09 May 2021 at 23:56 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:
[752] mashable,enricomolinari [513] wef,enricomolinari [461] read,more [450] artificial,intelligence [442] good,data [442] data,improve [442] improve,#policing [442] #policing,reduce [442] reduce,excessive [442] excessive,force Top Word Pairs in Tweet in G1:
[740] mashable,enricomolinari [506] wef,enricomolinari [302] #ai,#iot [260] #govtech,#security [258] #security,govinfosecurity [248] #finserv,#insurtech [226] #insurtech,#proptech [214] #fintech,#finserv [207] #esg,#sdgs [193] billmew,#govtech Top Word Pairs in Tweet in G2:
[47] data,infrastructure [42] states,invest [42] infrastructure,ensure [42] ensure,recovery [31] joe,biden [31] recovery,supports [30] potus,joe [28] kamala,harris [28] harris,tackle [27] vp,kamala Top Word Pairs in Tweet in G3:
[15] government,technology [15] spring,mountain [14] mountain,capital [14] #civictech,#govtech [13] govtech,saas [13] initiatieven,uitgelicht [9] icymi,google [9] google,introduced [9] introduced,feature [9] feature,called Top Word Pairs in Tweet in G4:
[28] #webdesign,#localgovwire [28] #localgovwire,#govtech [19] #govit,#govtech [15] #govtech,#civictech [14] martinlindla,aws_gov [9] #govcon,#govtech [7] state,local [7] welcome,chrisriotta [7] chrisriotta,fcw [7] fcw,chris Top Word Pairs in Tweet in G5:
[49] innovación,pública [48] masterclass,#govtech [32] #govtech,#innovaciónpública [32] junto,cifuentesaura [30] comunidad,#govtech [25] américa,latina [22] gobierno,abierto [20] cifuentesaura,enrique_za [19] #innovaciónpública,américa [19] #govtech,iberoamérica Top Word Pairs in Tweet in G6:
[124] florida,gov [124] gov,desantis [124] desantis,signs [124] signs,bill [124] bill,banning [124] banning,vaccine [124] vaccine,passports [124] passports,lead [124] lead,way [124] way,freedom Top Word Pairs in Tweet in G7:
[14] public,sector [13] public,book [13] book,makes [13] makes,case [11] case,public [11] sector,tech [10] power,public [8] tech,story [8] story,zackquaintance [7] onyx,government Top Word Pairs in Tweet in G8:
[88] know,countries [88] countries,adopting [88] adopting,blockchain [88] blockchain,technology [88] technology,unprecedented [88] unprecedented,rates [88] rates,african [88] african,countries [88] countries,know [87] gooseofcrypto,know Top Word Pairs in Tweet in G9:
[43] cybersecurity,grows [43] grows,more [43] more,challenging [43] challenging,government [43] government,agencies [43] agencies,day [43] day,sophistication [43] sophistication,threats [43] threats,continues [43] continues,rise Top Word Pairs in Tweet in G10:
[38] paperless,equipment [19] jennycohn1,artsycarol [19] artsycarol,texas [19] texas,state [19] state,paperless [19] equipment,texas [19] texas,paperless [19] equipment,probably [18] cwolmak,jennycohn1 [18] probably,repre Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: