The graph represents a network of 2,500 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, 11 July 2022 at 00:46 UTC.
The requested start date was Monday, 11 July 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 11-day, 2-hour, 41-minute period from Monday, 27 June 2022 at 00:59 UTC to Friday, 08 July 2022 at 03:41 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 : 2500
Unique Edges : 2315
Edges With Duplicates : 6309
Total Edges : 8624
Number of Edge Types : 5
Retweet : 2100
MentionsInRetweet : 3514
Tweet : 1203
Mentions : 1733
Replies to : 74
Self-Loops : 1242
Reciprocated Vertex Pair Ratio : 0.0447805456702254
Reciprocated Edge Ratio : 0.0857223956854953
Connected Components : 539
Single-Vertex Connected Components : 350
Maximum Vertices in a Connected Component : 1260
Maximum Edges in a Connected Component : 6688
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.383119
Graph Density : 0.00056390556222489
Modularity : 0.388692
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,500 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, 11 July 2022 at 00:46 UTC.
The requested start date was Monday, 11 July 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 11-day, 2-hour, 41-minute period from Monday, 27 June 2022 at 00:59 UTC to Friday, 08 July 2022 at 03:41 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:
[317] #tech,#innovation [223] #analytics,#ai [212] #bigdata,#analytics [211] #innovation,#datascience [140] #datascience,#bigdata [131] #metaverse,#nft [127] learn,more [113] public,sector [100] #digital,#python [96] #python,#flutter Top Word Pairs in Tweet in G1:
[293] #tech,#innovation [207] #analytics,#ai [198] #innovation,#datascience [197] #bigdata,#analytics [131] #datascience,#bigdata [123] #metaverse,#nft [95] #fintech,#finsevr [95] #digital,#python [94] #insurtech,#fintech [90] #govtech,#ehealth Top Word Pairs in Tweet in G2:
[57] government,technology [34] ãƒ,ム[24] learn,more [16] #saggov,#govtech [14] more,#saggov [13] against,ransomware [13] read,more [11] sean,sweeney [11] sweeney,senior [11] senior,director Top Word Pairs in Tweet in G3:
[19] public,sector [17] govtechnews,#cdwsocial [15] google,public [13] next,generation [12] police,department [12] congestion,pricing [12] task,forces [12] roads,look [11] long,term [10] local,governments Top Word Pairs in Tweet in G4:
[47] sering,cemas [47] cemas,krn [47] krn,kerja [47] kerja,startup [47] startup,takut [47] takut,kena [47] kena,layoff [47] layoff,krn [47] krn,startupnya [47] startupnya,akan Top Word Pairs in Tweet in G5:
[8] reducing,barriers [8] barriers,women [7] nutzen,öffentlicher [7] öffentlicher,apis [7] apis,vielen [7] vielen,anderen [7] anderen,ländern [7] ländern,deutlich [7] deutlich,besser [7] besser,gehoben Top Word Pairs in Tweet in G6:
[9] guía,cómo [9] cómo,desarrollar [9] desarrollar,hoja [9] hoja,ruta [9] ruta,#govtech [9] #govtech,agendacaf [9] agendacaf,trabajamos [9] trabajamos,diversos [9] diversos,gobiernos [8] agendacaf,govtechlab Top Word Pairs in Tweet in G7:
[2] ajohnso50141696,calliem19373157 [2] fueldog3,spacesvector [2] btchnmarilyn,originalgoalie [2] originalgoalie,realvioletbloom [2] realvioletbloom,mirandaisrisen [2] jackjackedme,ssherow [2] ssherow,dynamex [2] dynamex,russettrichard [2] russettrichard,jamess33677101 [2] jamess33677101,charles900811 Top Word Pairs in Tweet in G8:
[7] public,sector [7] government,technology [7] technology,drjdrooghaag [6] mean,starting [6] starting,scratch [6] application,solutions [5] procurement,plans [5] plans,anticipate [5] anticipate,see [5] see,cloud Top Word Pairs in Tweet in G9:
[3] ky,reached [3] reached,find [3] find,part [3] part,program [2] gibsonmainframe,ky [2] yokalli2,lifelessai [2] lifelessai,b3n_5mash [2] b3n_5mash,blackhatnanny [2] blackhatnanny,mysocalledninja [2] mysocalledninja,pacificdisinfo 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 G7:
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:
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: