The graph represents a network of 2,750 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, 28 December 2020 at 23:11 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 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, 58-minute period from Monday, 14 December 2020 at 01:02 UTC to Monday, 28 December 2020 at 01:00 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 : 2750
Unique Edges : 1977
Edges With Duplicates : 5390
Total Edges : 7367
Number of Edge Types : 5
Mentions : 1944
Retweet : 1643
MentionsInRetweet : 2332
Replies to : 151
Tweet : 1297
Self-Loops : 1353
Reciprocated Vertex Pair Ratio : 0.0336590662323561
Reciprocated Edge Ratio : 0.0651260504201681
Connected Components : 685
Single-Vertex Connected Components : 443
Maximum Vertices in a Connected Component : 1239
Maximum Edges in a Connected Component : 4905
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.779815
Graph Density : 0.00037779027084229
Modularity : 0.397094
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,750 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, 28 December 2020 at 23:11 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 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, 58-minute period from Monday, 14 December 2020 at 01:02 UTC to Monday, 28 December 2020 at 01:00 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:
[185] #govtech,#security [185] #security,govinfosecurity [180] #govtech,#stateandlocal [162] covid,19 [137] billmew,#govtech [109] top,21 [108] security,predictions [107] predictions,2021 [105] 21,security [88] #govtech,ukauthority Top Word Pairs in Tweet in G1:
[49] covid,19 [26] learn,more [21] public,sector [19] smart,city [17] security,predictions [17] predictions,2021 [15] best,practices [15] digital,transformation [15] top,21 [15] 21,security Top Word Pairs in Tweet in G2:
[175] #govtech,#stateandlocal [41] govtechnews,#cdwsocial [24] covid,19 [23] #stateandlocal,#network [20] 2021,govtechnews [17] #network,#broadband [14] govtechnews,article [14] phoenix,ciso [14] ciso,shannon [14] shannon,lawson Top Word Pairs in Tweet in G3:
[181] #govtech,#security [181] #security,govinfosecurity [133] billmew,#govtech [88] #govtech,ukauthority [50] #govtech,diginomica [48] drjdrooghaag,fabriziobustama [48] fabriziobustama,antgrasso [48] antgrasso,sallyeaves [48] sallyeaves,mikko [48] mikko,archonsec Top Word Pairs in Tweet in G4:
[60] douglittlejr,#cybersecurity [50] #govtech,#bugbounty [43] #cybersecurity,#fintech [40] #cybersecurity,#healthtech [35] #fintech,#legaltech [35] top,21 [35] 21,security [35] security,predictions [35] predictions,2021 [34] #ciso,#govtech Top Word Pairs in Tweet in G5:
[32] #bigdata,#ai [30] cyber,minds [30] minds,offers [30] offers,insights [30] insights,#cybersecurity [30] #cybersecurity,recommendations [30] recommendations,#cloud [30] #cloud,#bigdata [30] #ai,#blockchain [30] #blockchain,#iot Top Word Pairs in Tweet in G6:
[23] thought,leaders [22] top,50 [22] global,thought [21] leaders,influencers [21] influencers,govtech [19] 50,global [16] govtech,#govtech [15] congrats,top [10] thinkers360,congrats [10] #govtech,#thoughtleaders Top Word Pairs in Tweet in G7:
[57] federal,transit [57] transit,administration [57] administration,agency [57] agency,under [57] under,thé [57] thé,dept [57] dept,transportation [57] transportation,thé [57] thé,sec [57] sec,transportation Top Word Pairs in Tweet in G8:
[5] kemp's,former [5] former,chief [5] chief,staff [5] staff,jared [5] jared,thomas [5] thomas,left [4] gov,kemp's [4] left,sos [4] sos,office [4] office,shortly Top Word Pairs in Tweet in G9:
[40] smart,city [39] line,smart [30] line,fukuokaが福岡市line公式アカウント運用のノウハウとデータを自治体対象に無償公開 [27] city,govtechプログラム [25] fukuokaが福岡市line公式アカウント運用のノウハウとデータを自治体対象に無償公開,2020 [25] 2020,12 [25] 12,16t06 [25] 16t06,00 [25] 00,46 [25] 46,000z Top Word Pairs in Tweet in G10:
[4] carefully,check [4] check,lee [4] lee,wapello [4] wapello,counties [4] counties,use [4] use,ds200 [4] ds200,voting [4] voting,tabulators [4] tabulators,described [4] more,republican Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G8:
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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 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 G10: