The graph represents a network of 2,577 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 August 2021 at 23:38 UTC.
The requested start date was Monday, 16 August 2021 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, 22-hour, 52-minute period from Monday, 02 August 2021 at 00:58 UTC to Sunday, 15 August 2021 at 23:50 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 : 2577
Unique Edges : 2356
Edges With Duplicates : 6313
Total Edges : 8669
Number of Edge Types : 5
Retweet : 2060
MentionsInRetweet : 3190
Mentions : 1946
Replies to : 179
Tweet : 1294
Self-Loops : 1367
Reciprocated Vertex Pair Ratio : 0.0424418604651163
Reciprocated Edge Ratio : 0.0814277746793084
Connected Components : 532
Single-Vertex Connected Components : 330
Maximum Vertices in a Connected Component : 1414
Maximum Edges in a Connected Component : 6762
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.40702
Graph Density : 0.000540194313287394
Modularity : 0.391217
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,577 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 August 2021 at 23:38 UTC.
The requested start date was Monday, 16 August 2021 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, 22-hour, 52-minute period from Monday, 02 August 2021 at 00:58 UTC to Sunday, 15 August 2021 at 23:50 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:
[250] #govtech,#security [250] #security,govinfosecurity [194] artificial,intelligence [189] luddy,center [189] open,month [189] billmew,#govtech [181] center,artificial [181] intelligence,open [120] month,govtech [100] douglittlejr,#cybersecurity Top Word Pairs in Tweet in G1:
[24] government,technology [21] ãƒ,ム[14] #govtech,#publicsectorit [10] covid,19 [8] licenses,ids [7] learn,more [7] north,carolina [7] virtual,digital [7] digital,government [7] more,information Top Word Pairs in Tweet in G2:
[24] govtechnews,#cdwsocial [22] project,vr [17] read,more [17] covid,19 [16] using,#virtualreality [15] #virtualreality,technology [13] artificial,intelligence [13] task,force [12] article,govtechnews [12] program,gamify Top Word Pairs in Tweet in G3:
[249] #govtech,#security [249] #security,govinfosecurity [188] billmew,#govtech [99] douglittlejr,#cybersecurity [90] #fintech,#legaltech [82] #govtech,ukauthority [80] #govtech,#bugbounty [73] #cybersecurity,#healthtech [64] #legaltech,#gdpr [61] #cybersecurity,drjdrooghaag Top Word Pairs in Tweet in G4:
[142] luddy,center [142] open,month [139] artificial,intelligence [137] center,artificial [137] intelligence,open [92] month,govtech [45] #artificialintelligence,#ai [40] month,#artificialintelligence [40] read,more [37] govtech,read Top Word Pairs in Tweet in G5:
[19] innpulsacol,israelincol [19] israelincol,agendacaf [18] seguimos,afianzando [18] afianzando,nuestra [18] israel,hoy [18] hoy,equipos [18] equipos,innpulsacol [18] agendacaf,identificamos [17] fjnoguera,seguimos [16] nuestra,relaciã Top Word Pairs in Tweet in G6:
[23] #webdesign,#localgovwire [23] #localgovwire,#govtech [14] aws_gov,learn [12] dallas,area [12] area,rapid [12] rapid,transit [12] transit,dartmedia [10] learn,helping [10] helping,dallas [10] dartmedia,scale Top Word Pairs in Tweet in G7:
[5] jenm5157,sbmccallister [5] sbmccallister,longasucan2 [5] longasucan2,platoinct [5] platoinct,jillianohana [5] jillianohana,bywillpollock [5] bywillpollock,traci_warhurst [5] traci_warhurst,cre8noh8 [5] cre8noh8,sdenyaredrain [4] october,2020 [4] sprzyslp,jenm5157 Top Word Pairs in Tweet in G8:
[9] demand,transit [6] transit,projects [6] projects,started [6] started,before [6] before,covid [6] covid,19 [6] 19,led [6] led,robust [6] robust,ridership [6] ridership,speak Top Word Pairs in Tweet in G9:
[8] jobs,jobs [6] european,#govtech [6] #govtech,startups [6] public's,research [6] research,policy [6] policy,team [5] public,sector [5] know,add [5] add,experimentation [5] experimentation,public Top Word Pairs in Tweet in G10:
[8] nstomar,narendramodi [8] narendramodi,congratulations [8] congratulations,sir [8] sir,way [8] way,welfare [8] welfare,shall [8] shall,delivered [8] delivered,directly [8] directly,account [8] account,#dbt Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: