The graph represents a network of 2,521 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, 06 June 2022 at 00:41 UTC.
The requested start date was Monday, 06 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 11-day, 2-hour, 45-minute period from Monday, 23 May 2022 at 01:04 UTC to Friday, 03 June 2022 at 03:49 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 : 2521
Unique Edges : 2017
Edges With Duplicates : 5400
Total Edges : 7417
Number of Edge Types : 5
Tweet : 1284
Retweet : 1921
MentionsInRetweet : 2784
Mentions : 1352
Replies to : 76
Self-Loops : 1305
Reciprocated Vertex Pair Ratio : 0.0489853044086774
Reciprocated Edge Ratio : 0.0933955970647098
Connected Components : 606
Single-Vertex Connected Components : 412
Maximum Vertices in a Connected Component : 1195
Maximum Edges in a Connected Component : 5104
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.871192
Graph Density : 0.000471908980437342
Modularity : 0.395152
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,521 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, 06 June 2022 at 00:41 UTC.
The requested start date was Monday, 06 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 11-day, 2-hour, 45-minute period from Monday, 23 May 2022 at 01:04 UTC to Friday, 03 June 2022 at 03:49 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:
[299] #business,#tech [227] #datascience,#bigdata [197] #bigdata,#analytics [181] #fintech,#insurtech [175] #tech,#innovation [170] #innovation,#datascience [158] #analytics,#ai [139] government,technology [128] #insurtech,#finserv [127] #tech,#datascience Top Word Pairs in Tweet in G1:
[65] ãƒ,ム[61] government,technology [39] well,planned [39] planned,cities [39] cities,network [39] network,infrastructure [39] infrastructure,something [39] something,common [39] common,both [39] both,need Top Word Pairs in Tweet in G2:
[291] #business,#tech [222] #datascience,#bigdata [191] #bigdata,#analytics [175] #fintech,#insurtech [170] #tech,#innovation [165] #innovation,#datascience [153] #analytics,#ai [125] #tech,#datascience [123] #insurtech,#finserv [112] #finserv,#marketing Top Word Pairs in Tweet in G3:
[32] govtechnews,#cdwsocial [19] district,philadelphia [17] time,data [17] digital,government [16] smart,insights [16] insights,#smartcity [16] #smartcity,district [16] philadelphia,gaining [16] gaining,time [16] data,insights Top Word Pairs in Tweet in G4:
[95] report,hackers [95] hackers,flip [95] flip,votes [95] votes,georgia's [95] georgia's,voting [95] voting,system [93] merissahansen17,report Top Word Pairs in Tweet in G5:
[15] bezpłatne,warsztaty [15] szkół,ponadpodstawowych [13] dziś,godz [13] godz,23 [13] 23,59 [13] 59,zbieramy [13] zbieramy,zgłoszenia [13] zgłoszenia,szkół [13] ponadpodstawowych,bezpłatne [13] warsztaty,strefie Top Word Pairs in Tweet in G6:
[16] administraciones,pãºblicas [15] cã,mo [14] mo,ve [14] ve,#transformaciã [14] #transformaciã,ndigital [14] ndigital,administraciones [14] pãºblicas,cuã [14] cuã,elementos [14] elementos,enfoques [13] agendacaf,cã Top Word Pairs in Tweet in G7:
[12] #esri,#arcgis [12] city,connected [12] connected,ale's [12] ale's,portfolio [12] portfolio,solutions [12] solutions,designed [12] designed,move [12] move,cities [12] cities,digital [12] digital,age Top Word Pairs in Tweet in G8:
[2] jonrfleming,sstaedtler98 [2] sstaedtler98,johnoz1900 [2] johnoz1900,glinch72 [2] glinch72,alfred_statesx [2] alfred_statesx,shastagecko [2] shastagecko,alefty123 [2] alefty123,girl_pilled [2] girl_pilled,ic_lib Top Word Pairs in Tweet in G9:
[17] 14,junio [12] desafã,os [11] ciclo,charlas [11] charlas,govtech [11] govtech,oportunidades [11] oportunidades,desafã [11] os,desarrollo [11] desarrollo,ciudades [11] ciudades,inteligentes [11] #mtyciudaddigital,#siga Top Word Pairs in Tweet in G10:
[5] neuen,episode [5] episode,egovpod [5] egovpod,spreche [5] spreche,larszimmerm [5] larszimmerm,govtechcampusde [5] govtechcampusde,#egov [5] #egov,#digvw [5] #digvw,#govtech [5] die,digitale [5] 22,23 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: