The graph represents a network of 2,763 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, 30 May 2022 at 00:37 UTC.
The requested start date was Monday, 30 May 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, 3-hour, 33-minute period from Monday, 16 May 2022 at 00:05 UTC to Sunday, 29 May 2022 at 03:38 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 : 2763
Unique Edges : 2350
Edges With Duplicates : 6770
Total Edges : 9120
Number of Edge Types : 5
Mentions : 1712
Replies to : 106
Retweet : 2279
MentionsInRetweet : 3584
Tweet : 1439
Self-Loops : 1483
Reciprocated Vertex Pair Ratio : 0.0405135520684736
Reciprocated Edge Ratio : 0.0778722237455443
Connected Components : 578
Single-Vertex Connected Components : 372
Maximum Vertices in a Connected Component : 1528
Maximum Edges in a Connected Component : 6978
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.376542
Graph Density : 0.000477893588678154
Modularity : 0.38418
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,763 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, 30 May 2022 at 00:37 UTC.
The requested start date was Monday, 30 May 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, 3-hour, 33-minute period from Monday, 16 May 2022 at 00:05 UTC to Sunday, 29 May 2022 at 03:38 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:
[490] #fintech,#insurtech [345] #insurtech,#finserv [318] #finserv,#marketing [223] #marketing,#web3 [173] government,technology [162] #payments,#100daysofcode [147] #web3,#neobanks [118] #neobanks,#payments [117] digital,government [96] government,summit Top Word Pairs in Tweet in G1:
[484] #fintech,#insurtech [339] #insurtech,#finserv [313] #finserv,#marketing [219] #marketing,#web3 [159] #payments,#100daysofcode [144] #web3,#neobanks [115] #neobanks,#payments [79] bankingdive,#fintech [66] #govtech,#blockchain [66] enricomolinari,#govtech Top Word Pairs in Tweet in G2:
[58] government,technology [37] massimiliano,claps [37] #publicsector,#whereeverythingconnects [36] ale,blog [36] blog,shares [36] shares,insight [36] insight,idc [36] idc,researcher [36] researcher,director [36] director,massimiliano Top Word Pairs in Tweet in G3:
[54] govtechnews,#cdwsocial [32] digital,equity [28] school,bus [24] high,speed [24] #metaverse,make [24] make,magic [24] magic,school [24] bus,reality [24] reality,#k12 [24] #k12,classrooms Top Word Pairs in Tweet in G4:
[18] agendacaf,cómo [15] szkół,ponadpodstawowych [15] bezpłatne,warsztaty [14] temas,govtech [13] compra,pública [13] dziś,godz [13] godz,23 [13] 23,59 [13] 59,zbieramy [13] zbieramy,zgłoszenia Top Word Pairs in Tweet in G5:
[47] govtech,india [34] india,summit [29] social,protection [19] summit,2022 [18] govtech,startups [17] summit,19th [14] 19th,2022 [14] such,amitabhk87 [14] amitabhk87,rajeevchawlaias [14] rajananandan,abhish18 Top Word Pairs in Tweet in G6:
[7] couple,days [6] great,couple [6] days,passionate [6] passionate,inspiring [6] inspiring,#civtech [6] #civtech,#govtech [6] #govtech,#civilservice [5] joel_nantais,great [5] #civilservice,profession [3] ve,pretty Top Word Pairs in Tweet in G7:
[16] govtech,dashboard [15] ai,based [13] global,govtech [11] #govtech,industry [11] book,free [10] dashboard,interactive [10] interactive,ai [10] based,dashboard [9] free,trial [8] velosimo,family Top Word Pairs in Tweet in G8:
[2] jonrfleming,sstaedtler98 [2] sstaedtler98,johnoz1900 [2] johnoz1900,glinch72 [2] glinch72,alfred_statesx [2] alfred_statesx,shastagecko [2] shastagecko,alefty123 [2] alefty123,girl_pilled [2] girl_pilled,ic_lib [2] ic_lib,fishyfish67 Top Word Pairs in Tweet in G9:
[31] government,technology [17] artificial,intelligence [15] ensure,trusted [15] trusted,access [15] access,#compliant [15] #compliant,#data [15] #data,create [15] create,agility [15] agility,combining [15] combining,#secure Top Word Pairs in Tweet in G10:
[9] willst,die [9] die,zukunft [9] zukunft,digitalen [9] digitalen,#verwaltung [9] #verwaltung,mitgestalten [9] mitgestalten,arbeitest [9] arbeitest,#startup [9] #startup,nimm [9] nimm,teil [9] teil,reverse Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: