The graph represents a network of 3,025 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, 13 June 2022 at 00:38 UTC.
The requested start date was Monday, 13 June 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, 48-minute period from Monday, 30 May 2022 at 00:11 UTC to Sunday, 12 June 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 : 3025
Unique Edges : 2456
Edges With Duplicates : 8269
Total Edges : 10725
Number of Edge Types : 5
Retweet : 3185
MentionsInRetweet : 4453
Tweet : 1432
Mentions : 1575
Replies to : 80
Self-Loops : 1481
Reciprocated Vertex Pair Ratio : 0.0540397350993378
Reciprocated Edge Ratio : 0.102538326212616
Connected Components : 629
Single-Vertex Connected Components : 429
Maximum Vertices in a Connected Component : 1626
Maximum Edges in a Connected Component : 8296
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.623707
Graph Density : 0.000434977480432026
Modularity : 0.356062
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,025 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, 13 June 2022 at 00:38 UTC.
The requested start date was Monday, 13 June 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, 48-minute period from Monday, 30 May 2022 at 00:11 UTC to Sunday, 12 June 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:
[983] #tech,#innovation [738] #innovation,#datascience [706] #datascience,#bigdata [700] #business,#tech [622] #analytics,#ai [602] #bigdata,#analytics [318] #ai,#digital [236] #digital,#python [220] #python,#flutter [184] #bnpl,#payments Top Word Pairs in Tweet in G1:
[972] #tech,#innovation [729] #innovation,#datascience [698] #datascience,#bigdata [689] #business,#tech [614] #analytics,#ai [597] #bigdata,#analytics [313] #ai,#digital [232] #digital,#python [216] #python,#flutter [182] #bnpl,#payments Top Word Pairs in Tweet in G2:
[82] government,technology [79] #govtech,#smartcity [57] ãƒ,ム[55] digital,age [40] outdated,tech [40] tech,big [40] big,hurdle [40] hurdle,governments [40] governments,citizens [40] citizens,demand Top Word Pairs in Tweet in G3:
[30] needs,map [24] #govtech,#civictech [23] digital,corps [23] corps,fellows [20] proud,announce [20] announce,13 [20] 13,agencies [20] agencies,host [20] host,first [20] first,cohort Top Word Pairs in Tweet in G4:
[34] compra,pública [24] ciclo,charlas [23] charlas,govtech [23] govtech,oportunidades [23] desarrollo,ciudades [23] ciudades,inteligentes [18] regístrate,innovamos [18] innovamos,juntas [18] estudio,compra [16] juntas,juntos Top Word Pairs in Tweet in G5:
[110] koncern,farmaceutyczny [110] farmaceutyczny,pfizer [110] pfizer,jest [110] jest,partnerem [110] partnerem,projektu [110] projektu,#fakehunter [110] #fakehunter,służącego [110] służącego,demaskowaniu [110] demaskowaniu,nieprawdziwych [109] agnieszkawolsk9,koncern Top Word Pairs in Tweet in G6:
[97] report,hackers [97] hackers,flip [97] flip,votes [97] votes,georgia's [97] georgia's,voting [97] voting,system [95] merissahansen17,report Top Word Pairs in Tweet in G7:
[24] deeper,learning [24] learning,coming [24] coming,life [24] life,ky [24] ky,#unitedwelearn [23] kycommishglass,deeper [7] project,based [7] based,learning [7] partnership,honor [7] honor,thank Top Word Pairs in Tweet in G8:
[9] #govtech,goes [5] heute,#govtech [5] goes,hessen [5] expandiert,warum [5] warum,entschieden [5] entschieden,unserer [5] unserer,reise [5] reise,unterstützt [5] 22,23 [5] 23,juni Top Word Pairs in Tweet in G9:
[15] #gis,#esri [15] migrate,content [15] content,between [15] between,arcgisonline [15] arcgisonline,arcgisxprise [15] arcgisxprise,esricanada [15] esricanada,#arcgisonline [14] #esri,#arcgis [14] gis_bandit,migrate [10] #arcgisadmin,#datamanagement Top Word Pairs in Tweet in G10:
[39] dtcc,use [39] use,#xdc [39] #xdc,r3 [39] r3,corda [39] corda,main [39] main,settlement [39] settlement,mechanism [39] mechanism,r3 [39] r3,usecases [39] usecases,capital Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G9:
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: