The graph represents a network of 2,745 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, 16 May 2022 at 00:38 UTC.
The requested start date was Monday, 16 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, 2-hour, 44-minute period from Monday, 02 May 2022 at 00:16 UTC to Sunday, 15 May 2022 at 03:00 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 : 2745
Unique Edges : 2180
Edges With Duplicates : 9710
Total Edges : 11890
Number of Edge Types : 5
Retweet : 3689
MentionsInRetweet : 5135
Tweet : 1430
Mentions : 1541
Replies to : 95
Self-Loops : 1471
Reciprocated Vertex Pair Ratio : 0.0430258717660292
Reciprocated Edge Ratio : 0.082502022108385
Connected Components : 542
Single-Vertex Connected Components : 351
Maximum Vertices in a Connected Component : 1571
Maximum Edges in a Connected Component : 9927
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.07336
Graph Density : 0.000492413983548142
Modularity : 0.291553
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,745 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, 16 May 2022 at 00:38 UTC.
The requested start date was Monday, 16 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, 2-hour, 44-minute period from Monday, 02 May 2022 at 00:16 UTC to Sunday, 15 May 2022 at 03:00 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:
[1637] #fintech,#insurtech [1328] #insurtech,#finserv [1107] #finserv,#marketing [390] #marketing,#web3 [362] #web3,#neobanks [360] #marketing,#payments [278] #neobanks,#payments [190] #payments,#100daysofcode [154] #flutter,#python [141] #payments,#flutter Top Word Pairs in Tweet in G1:
[51] ale,blog [51] blog,shares [51] shares,insight [51] insight,idc [51] idc,researcher [51] researcher,director [51] director,massimiliano [51] massimiliano,claps [51] claps,learn [51] learn,impact Top Word Pairs in Tweet in G2:
[50] govtechnews,#cdwsocial [24] #vr,#ar [23] envy,year [23] year,course [23] course,catalog [23] catalog,umich [23] umich,interactive [23] interactive,360 [23] 360,degree [23] degree,video Top Word Pairs in Tweet in G3:
[1169] #fintech,#insurtech [911] #insurtech,#finserv [695] #finserv,#marketing [235] #marketing,#web3 [215] #web3,#neobanks [193] #marketing,#payments [162] #neobanks,#payments [115] siftedeu,#fintech [87] #metaverse,#fintech [84] #payments,#100daysofcode Top Word Pairs in Tweet in G4:
[439] #fintech,#insurtech [393] #insurtech,#finserv [392] #finserv,#marketing [162] #marketing,#payments [147] #marketing,#web3 [140] #web3,#neobanks [129] #flutter,#python [112] #neobanks,#payments [107] #python,#javascript [107] #rstats,#metaverse Top Word Pairs in Tweet in G5:
[121] research,carnegie [121] carnegie,mellon [121] mellon,university [121] university,shows [121] shows,replacing [121] replacing,short [121] short,car [121] car,trips [121] trips,bike [121] bike,scooter Top Word Pairs in Tweet in G6:
[19] bid,lab [11] emprendimientos,tecnológicos [10] poner,marcha [10] apoyar,emprendimientos [9] #entérate,#hoy [9] #hoy,estuvimos [9] estuvimos,presentes [9] presentes,#southsummit [9] #southsummit,brasil [9] brasil,contando Top Word Pairs in Tweet in G7:
[56] defeating,kaslr [56] kaslr,modern [56] modern,operating [56] operating,systems [55] reverseame,defeating [8] interns,chloe [8] chloe,kar [8] kar,wei [8] find,bugs [8] bugs,accel Top Word Pairs in Tweet in G8:
[12] #fintech,#insurtech [9] #insurtech,#finserv [7] 1st,november [7] public,sector [7] #finserv,#marketing [6] #govtech,#smartcities [6] world,leading [6] leading,event [6] sector,#innovation [5] consolidated,strategy Top Word Pairs in Tweet in G9:
[21] 19th,2022 [18] govtech,india [18] india,summit [15] social,protection [15] summit,19th [15] govtech,startups [13] #govtechindiasummit,19th [12] #speaker,#govtechindiasummit [11] scale,#govtech [11] #govtech,phenomenal Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
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:
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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:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: