The graph represents a network of 2,235 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, 15 August 2022 at 00:36 UTC.
The requested start date was Monday, 15 August 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, 36-minute period from Monday, 01 August 2022 at 00:05 UTC to Sunday, 14 August 2022 at 02:41 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 : 2235
Unique Edges : 1996
Edges With Duplicates : 7068
Total Edges : 9064
Number of Edge Types : 5
Retweet : 2633
MentionsInRetweet : 3905
Mentions : 1181
Tweet : 1274
Replies to : 71
Self-Loops : 1321
Reciprocated Vertex Pair Ratio : 0.0562437227987948
Reciprocated Edge Ratio : 0.106497622820919
Connected Components : 516
Single-Vertex Connected Components : 344
Maximum Vertices in a Connected Component : 1275
Maximum Edges in a Connected Component : 7449
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.361118
Graph Density : 0.000631885904037461
Modularity : 0.326464
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 2,235 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, 15 August 2022 at 00:36 UTC.
The requested start date was Monday, 15 August 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, 36-minute period from Monday, 01 August 2022 at 00:05 UTC to Sunday, 14 August 2022 at 02:41 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:
[411] #insurtech,#fintech [366] #fintech,#finsevr [317] #fintech,#insurtech [315] #insurtech,#finserv [241] #finserv,#marketing [240] #finsevr,#ai [240] #ai,#edtech [172] #analytics,#ai [155] #edtech,#govtech [119] enricomolinari,#metaverse Top Word Pairs in Tweet in G1:
[407] #insurtech,#fintech [362] #fintech,#finsevr [314] #insurtech,#finserv [312] #fintech,#insurtech [240] #finserv,#marketing [238] #finsevr,#ai [238] #ai,#edtech [170] #analytics,#ai [152] #edtech,#govtech [108] #python,#flutter Top Word Pairs in Tweet in G2:
[79] ãƒ,ム[60] government,technology [29] learn,more [22] more,#saggov [20] #saggov,#govtech [19] digital,government [18] government,summit [16] edge,computing [14] spotlight,latam [14] latam,identity Top Word Pairs in Tweet in G3:
[35] digital,equity [21] govtechnews,#cdwsocial [17] hear,#k12 [17] #k12,#it [17] #it,teams [17] teams,#digitaldivide [17] #digitaldivide,impacting [17] impacting,students [17] students,funding [17] funding,combat Top Word Pairs in Tweet in G4:
[22] destacado,semana [15] ecosistema,actores [15] reinventar,sector [13] libro,destacado [13] semana,#govtech [12] riga_latam,libro [12] #govtech,iberoamã [12] iberoamã,rica [12] primera,comunidad [12] foro,govtech Top Word Pairs in Tweet in G5:
[16] #iaem,#nema [14] #nema,#dhs [14] #disasters,#disasterzone [12] #gis,#esri [12] #fema,#iaem [10] #esri,#arcgis [9] learn,rubicon [9] rubicon,rekorsystems [9] rekorsystems,sharpershape [9] sharpershape,enable Top Word Pairs in Tweet in G6:
[30] #marketing,#proptech [29] step,prepare [29] #proptech,#govtech [29] #govtech,#finserv [28] enricomolinari,#metaverse [25] #finserv,#fintech [23] prepare,pwc [23] pwc,#marketing [22] #metaverse,six [22] six,step Top Word Pairs in Tweet in G7:
[6] #localgovdigital,#govtech [5] leeds,city [5] city,council [5] council,tax [5] deliver,locally [5] locally,configured [5] configured,#publicservices [5] #publicservices,confirm [5] confirm,#localism [5] #localism,agenda Top Word Pairs in Tweet in G8:
[32] yorkers,deserve [32] deserve,know [32] know,political [32] political,dissent [32] dissent,policed [32] policed,city [32] city,more [32] more,importantly [32] importantly,records [32] records,help Top Word Pairs in Tweet in G9:
[8] #civictech,#govtech [6] senior,executives [6] bobirakova,meganphma [5] deadlines,force [5] force,senior [5] executives,product [5] product,teams [5] teams,make [5] make,uninformed [5] uninformed,read Top Word Pairs in Tweet in G10:
[7] harness,power [7] power,#govtech [7] #govtech,startups [7] startups,innovation [4] government,scale [4] scale,technology [4] technology,democratisation [4] democratisation,govtech [4] govtech,best [4] best,govtech 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 G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: