The graph represents a network of 3,240 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 01:36 UTC.
The tweets in the network were tweeted over the 2007-day, 1-hour, 57-minute period from Tuesday, 18 July 2017 at 22:57 UTC to Monday, 16 January 2023 at 00:55 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 : 3240
Unique Edges : 3169
Edges With Duplicates : 7953
Total Edges : 11122
Number of Edge Types : 9
Retweet : 2206
MentionsInRetweet : 3864
Mentions : 1870
Tweet : 1988
Quote : 101
Replies to : 209
MentionsInReplyTo : 663
MentionsInQuoteReply : 47
MentionsInQuote : 174
Self-Loops : 2315
Reciprocated Vertex Pair Ratio : 0.0422798411586078
Reciprocated Edge Ratio : 0.0811295383236217
Connected Components : 894
Single-Vertex Connected Components : 688
Maximum Vertices in a Connected Component : 1545
Maximum Edges in a Connected Component : 7935
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.320489
Graph Density : 0.000425180763762631
Modularity : 0.373231
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,240 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 01:36 UTC.
The tweets in the network were tweeted over the 2007-day, 1-hour, 57-minute period from Tuesday, 18 July 2017 at 22:57 UTC to Monday, 16 January 2023 at 00:55 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:
[286] #ces,#mwc23 [262] #ces2023,#ces [238] #mwc23,#fintech [224] #fintech,#nfts [222] #innovation,#ai [220] #nfts,#innovation [210] #ai,#digital [194] ces,#ces [193] #digital,#coding [191] future,ces Top Word Pairs in Tweet in G1:
[277] #ces,#mwc23 [248] #ces2023,#ces [236] #mwc23,#fintech [223] #fintech,#nfts [221] #innovation,#ai [219] #nfts,#innovation [208] #ai,#digital [193] #digital,#coding [193] ces,#ces [190] future,ces Top Word Pairs in Tweet in G2:
[130] public,sector [119] 2023,#govtech [117] watch,2023 [117] derek,manky [117] jim,richberg [116] tune,another [116] richberg,#fortiguardlabs' [116] trends,#cisos [116] fortinetlive,#fortinet's [116] edition,fortinetlive Top Word Pairs in Tweet in G3:
[41] pública,digital [41] transformación,pública [35] digital,latinoamérica [25] programa,córdoba [20] going,#govtech [20] latinoamérica,disponible [20] book,transformación [19] luispapagni,diego [19] online,compilado [19] disponible,online Top Word Pairs in Tweet in G4:
[57] included,govtech [57] global,recognition [57] strong,focus [57] govtech,leaders [57] fastest,agile [57] recognition,strong [57] focus,digitalization [57] leaders,fastest [57] digitalization,included [56] agile,digit Top Word Pairs in Tweet in G5:
[77] years,banking [77] months,govtech [77] hai,twt_kerjamy [77] looking,job [77] banking,months [77] experience,years [77] comms,corporate [77] corporate,experience [77] job,comms [77] twt_kerjamy,looking Top Word Pairs in Tweet in G6:
[9] joshkovensky,carrybeyond [9] carrybeyond,urocklive1 [9] saysdana,davidmanonfire [9] bywillpollock,hunterw [9] urocklive1,25ribbits [9] 25ribbits,saysdana [9] hunterw,joshkovensky [8] ashoutoutfrommn,bywillpollock [7] davidmanonfire,indict [7] derwouter,ashoutoutfrommn Top Word Pairs in Tweet in G7:
[25] #business,#govtech [24] #fintech,#legaltech [24] douglittlejr,#cybersecurity [23] risk,#databreach [23] #data,silos [22] #govtech,#cto [22] #cybersecurity,#fintech [20] errors,wastage [20] #cto,#cdo [18] #cybersecurity,#healthtech Top Word Pairs in Tweet in G8:
[114] #government,agency [91] #govtech,#digitaltransformation [67] read,#blog [61] #digitaltransformation,#technology [56] #technology,#integration [47] #govtech,#technology [46] demand,#webinar [38] #blog,learn [33] watch,demand [33] #webinar,learn Top Word Pairs in Tweet in G9:
[15] #governmentit,#localgov [15] #gis,#esri [15] #govtech,#civictech [14] #stateandlocal,#governmentit [14] #esri,#arcgis [13] #publicsector,#cio [13] #civictech,#stateandlocal [11] #govtech,#statelocalit [10] #enterprisesoftware,#publicsector [10] #localgov,#enterprisesoftware Top Word Pairs in Tweet in G10:
[57] govtechnews,#cdwsocial [27] regular,#zoom [27] re,#vr [27] re,vr [27] distracted,look [27] phone,re [27] look,phone [27] #zoom,classes [27] #vr,re [27] classes,distracted Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
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: