The graph represents a network of 3,122 Twitter users whose recent tweets contained "govtech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 01:34 UTC.
The tweets in the network were tweeted over the 2047-day, 0-hour, 24-minute period from Friday, 30 June 2017 at 00:01 UTC to Monday, 06 February 2023 at 00:26 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3122
Unique Edges : 2549
Edges With Duplicates : 7054
Total Edges : 9603
Number of Edge Types : 8
Retweet : 2053
MentionsInRetweet : 3156
Replies to : 289
Tweet : 2232
Mentions : 1203
MentionsInReplyTo : 487
MentionsInQuote : 116
Quote : 67
Self-Loops : 2631
Reciprocated Vertex Pair Ratio : 0.0479278263321116
Reciprocated Edge Ratio : 0.0914716168953457
Connected Components : 879
Single-Vertex Connected Components : 595
Maximum Vertices in a Connected Component : 1423
Maximum Edges in a Connected Component : 6137
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.688512
Graph Density : 0.00038147483487384
Modularity : 0.401571
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,122 Twitter users whose recent tweets contained "govtech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 01:34 UTC.
The tweets in the network were tweeted over the 2047-day, 0-hour, 24-minute period from Friday, 30 June 2017 at 00:01 UTC to Monday, 06 February 2023 at 00:26 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[290] #insurtech,#finance [276] #finance,#finsevr [248] #finsevr,#ai [225] #ai,#edtech [182] #edtech,#govtech [137] #cybersecurity,#fintech [136] douglittlejr,#cybersecurity [133] #gdpr,#healthtech [132] #investing,#banking [130] #govtech,#investing Top Word Pairs in Tweet in G1:
[92] #govtech,#ai [82] government,technology [52] read,more [42] more,#govtech [41] #smartcity,#govtech [41] govts,need [41] improve,technology [41] learn,local [41] technology,backbone [41] local,govts Top Word Pairs in Tweet in G2:
[278] #insurtech,#finance [265] #finance,#finsevr [240] #finsevr,#ai [217] #ai,#edtech [173] #edtech,#govtech [135] #cybersecurity,#fintech [134] douglittlejr,#cybersecurity [131] #gdpr,#healthtech [130] #investing,#banking [128] #govtech,#investing Top Word Pairs in Tweet in G3:
[38] state,local [28] #govtech,#cdwsocial [26] #government,#govtech [25] digital,divide [23] local,governments [22] priorities,2023 [19] digital,equity [19] top,ten [19] federal,agencies [19] #nema,#dhs Top Word Pairs in Tweet in G4:
[55] iberoamérica,ecosistema [55] libro,govtech [55] govtech,iberoamérica [47] sector,público [46] ecosistema,actores [35] tecnologías,reinventar [35] actores,tecnologías [35] reinventar,sector [26] #espaciospoliticos,libro [26] quieres,aprender Top Word Pairs in Tweet in G5:
[124] transit,agencies [124] fund,transit [124] crisis,run [124] crisis,crisis [124] need,fund [124] lurching,crisis [124] run,good [124] good,service [124] mode,lurching [124] agencies,mode Top Word Pairs in Tweet in G6:
[22] india,stack [20] session,wef [20] govtech,session [20] stack,story [20] heads,govt [20] today,attended [20] shared,phenomenal [20] phenomenal,india [20] govt,ministers [20] story,govtech Top Word Pairs in Tweet in G7:
[40] presented,one [40] scaling,govtech [40] estonian,app [40] whole,world [40] shop,estonian [40] world,davos [40] one,stop [40] solutions,whole [40] stop,shop [40] govtech,solutions Top Word Pairs in Tweet in G8:
[7] nfpa,1660 [6] incident,plans [6] #location,#intelligence [6] detailed,guidance [6] plans,inform [6] inform,tactical [6] 1660,provides [6] guidance,development [6] tactical,decisions [6] pre,incident Top Word Pairs in Tweet in G9:
[18] #govtech,success [18] app,digital [18] services,until [18] smartphone,app [18] despite,#govtech [18] government,services [18] built,smartphone [18] never,built [18] e_estonia,never [18] success,e_estonia Top Word Pairs in Tweet in G10:
[23] economy,america [23] federal,agencies [23] energy,economy [23] lead,requires [23] collaboration,federal [23] requires,coordination [23] coordination,collaboration [23] america,lead [22] agencies,sta [22] secgranholm,energy 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 G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: