The graph represents a network of 2,512 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, 25 April 2022 at 00:40 UTC.
The requested start date was Monday, 25 April 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, 1-hour, 17-minute period from Monday, 11 April 2022 at 01:05 UTC to Sunday, 24 April 2022 at 02:22 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 : 2512
Unique Edges : 2066
Edges With Duplicates : 7608
Total Edges : 9674
Number of Edge Types : 5
Retweet : 3047
MentionsInRetweet : 4107
Tweet : 1390
Mentions : 1057
Replies to : 73
Self-Loops : 1441
Reciprocated Vertex Pair Ratio : 0.0341962288271013
Reciprocated Edge Ratio : 0.0661310259579728
Connected Components : 580
Single-Vertex Connected Components : 393
Maximum Vertices in a Connected Component : 1324
Maximum Edges in a Connected Component : 7696
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.092987
Graph Density : 0.000513029295304482
Modularity : 0.330963
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,512 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, 25 April 2022 at 00:40 UTC.
The requested start date was Monday, 25 April 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, 1-hour, 17-minute period from Monday, 11 April 2022 at 01:05 UTC to Sunday, 24 April 2022 at 02:22 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:
[963] #fintech,#insurtech [749] #insurtech,#finserv [450] #finserv,#marketing [246] #marketing,#payments [231] #web3,#bnpl [201] #cybersecurity,#web3 [189] #bnpl,#fintech [165] fatales,signal [137] #web3,#fintech [122] digital,id Top Word Pairs in Tweet in G1:
[43] announced,formation [43] formation,first [43] first,bureau [43] bureau,cyberspace [43] cyberspace,digital [43] digital,policy [43] policy,office [43] office,dedicated [43] dedicated,national [43] national,security Top Word Pairs in Tweet in G2:
[63] govtechnews,#cdwsocial [31] digital,inclusion [30] top,25 [30] training,programs [27] doers,dreamers [26] 25,doers [23] dreamers,drivers [22] solar,panels [22] school,bus [20] best,practices Top Word Pairs in Tweet in G3:
[943] #fintech,#insurtech [736] #insurtech,#finserv [444] #finserv,#marketing [244] #marketing,#payments [217] #web3,#bnpl [192] #cybersecurity,#web3 [180] #bnpl,#fintech [135] #web3,#fintech [119] digital,id [102] #payments,#100daysofcode Top Word Pairs in Tweet in G4:
[145] fatales,signal [108] habe,nochmal [108] nochmal,heise [108] heise,bisschenwas [108] bisschenwas,dazu [108] dazu,geschrieben [108] geschrieben,warum [108] warum,govtechcampusde [108] govtechcampusde,fatales [107] lilithwittmann,habe Top Word Pairs in Tweet in G5:
[20] 28,29 [20] 29,abril [20] encuentro,internacional [20] internacional,ciudades [17] ciudades,movilidad [15] movilidad,economía [15] jueves,28 [15] 28,octubre [14] economía,digital [11] abril,encuentro Top Word Pairs in Tweet in G6:
[9] #vc_impact,govtech [9] govtech,roundtable [9] roundtable,posi2ive [9] posi2ive,host [9] host,zecca_lehn [9] zecca_lehn,panelists [9] panelists,sturbovsky [9] sturbovsky,abhinemani [9] abhinemani,camilopez [8] zecca_lehn,#vc_impact Top Word Pairs in Tweet in G7:
[14] article,ssireview [14] ssireview,published [14] published,today [14] today,executive [14] executive,director [14] director,jj_anastasoff [14] jj_anastasoff,details [14] details,great [14] great,gov [13] techtalentproj,article Top Word Pairs in Tweet in G8:
[11] key,concepts [11] government,systems [10] demand,modernization [10] modernization,integration [10] integration,core [10] core,government [10] systems,entry [10] entry,point [10] point,strengthening [10] strengthening,#govtechapproach Top Word Pairs in Tweet in G9:
[4] ed,tech [3] workforce,training [3] screen,time [3] federal,legislation [3] legislation,passed [3] passed,house [3] alleviate,brain [3] brain,drain [3] drain,reforming [3] state,competition Top Word Pairs in Tweet in G10:
[17] #digitaltransformation,#government [17] #government,during [17] during,#covid19 [17] #covid19,drhaav [17] drhaav,forbesbizcncl [17] forbesbizcncl,ianljones98 [17] ianljones98,shi4tech [17] shi4tech,lyakovet [16] betamoroney,#digitaltransformation [12] govtech,day 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 G6:
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 G5:
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:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: