The graph represents a network of 3,430 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, 21 September 2020 at 22:02 UTC.
The requested start date was Monday, 21 September 2020 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, 23-hour, 24-minute period from Monday, 07 September 2020 at 00:20 UTC to Sunday, 20 September 2020 at 23:45 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 : 3430
Unique Edges : 3904
Edges With Duplicates : 9781
Total Edges : 13685
Number of Edge Types : 5
Mentions : 2835
Tweet : 1443
Retweet : 3105
MentionsInRetweet : 6185
Replies to : 117
Self-Loops : 1477
Reciprocated Vertex Pair Ratio : 0.046448087431694
Reciprocated Edge Ratio : 0.0887728459530026
Connected Components : 610
Single-Vertex Connected Components : 394
Maximum Vertices in a Connected Component : 2147
Maximum Edges in a Connected Component : 11509
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.819919
Graph Density : 0.000521023307460717
Modularity : 0.396266
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,430 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, 21 September 2020 at 22:02 UTC.
The requested start date was Monday, 21 September 2020 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, 23-hour, 24-minute period from Monday, 07 September 2020 at 00:20 UTC to Sunday, 20 September 2020 at 23:45 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:
[345] #govtech,#security [345] #security,govinfosecurity [288] billmew,#govtech [193] covid,19 [146] #security,#cybersecurity [134] #govtech,#stateandlocal [112] learn,more [91] adamdanyal,enricomolinari [89] #govtech,ukauthority [86] #ai,#iot Top Word Pairs in Tweet in G1:
[145] #security,#cybersecurity [128] #govtech,#stateandlocal [74] govtechnews,#security [73] cdwgwagov,ransomware [72] covid,19 [61] threat,elections [54] #ransomware,attack [48] during,covid [48] helped,city [48] city,orleans Top Word Pairs in Tweet in G2:
[24] covid,19 [17] september,15 [16] tune,tuesday [16] tuesday,september [16] 15,00 [16] 00,ciena's [16] ciena's,daniele [16] daniele,loffreda [16] loffreda,wayne [16] wayne,hickey Top Word Pairs in Tweet in G3:
[96] billmew,#govtech [96] #govtech,#security [96] #security,govinfosecurity [81] adamdanyal,enricomolinari [74] nanochip,generates [74] generates,body [74] body,cells [74] cells,heal [74] heal,body [74] body,parts Top Word Pairs in Tweet in G4:
[51] innovación,pública [50] laboratorio,innovación [44] #milab,laboratorio [36] gobierno,nacional [34] américa,latina [26] pública,gobierno [25] nacional,operado [25] operado,innpulsacol [25] innpulsacol,convierte [24] cómo,futuro Top Word Pairs in Tweet in G5:
[231] #govtech,#security [231] #security,govinfosecurity [174] billmew,#govtech [86] #govtech,ukauthority [60] #govtech,diginomica [58] drjdrooghaag,fabriziobustama [58] fabriziobustama,antgrasso [58] antgrasso,sallyeaves [58] sallyeaves,mikko [58] mikko,archonsec Top Word Pairs in Tweet in G6:
[36] #startups,#scaleups [33] #smartcities,#govtech [31] #edtech,#healthtech [31] #healthtech,#smartcities [29] powered,empactventures [29] apply,#techforgood [29] #techforgood,#competition [29] #competition,powered [26] calling,#startups [24] smart,cities Top Word Pairs in Tweet in G7:
[40] learn,more [31] #fedgov,#govtech [31] virtual,event [23] exclusive,access [23] access,webinar [22] webinar,series [22] #govtech,#govit [20] best,practices [19] 00am,pt [18] reimagine,nation Top Word Pairs in Tweet in G8:
[37] role,#ai [37] #ai,rise [37] rise,#smartcities [37] #smartcities,experts [37] experts,talk [37] talk,risks [37] risks,rewards [35] kirkdborne,role [31] rewards,#bigdata [27] #bigdata,#datas Top Word Pairs in Tweet in G9:
[28] #gis,#esri [25] #govtech,#statelocalit [22] #esri,#arcgis [13] #gio,#it [12] download,ogc [12] ogc,geopackage [12] geopackage,hosted [12] hosted,#arcgis [12] #arcgis,feature [12] feature,services Top Word Pairs in Tweet in G10:
[39] d'infos,l'ouverture [39] l'ouverture,prochaine [39] prochaine,notre [39] notre,datacenter [39] datacenter,france [39] france,projet [39] projet,verra [39] verra,jour [39] jour,2021 [39] 2021,avant Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: