The graph represents a network of 3,017 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, 13 September 2021 at 23:45 UTC.
The requested start date was Monday, 13 September 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, 33-minute period from Monday, 30 August 2021 at 00:47 UTC to Sunday, 12 September 2021 at 23:20 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 : 3017
Unique Edges : 2450
Edges With Duplicates : 7471
Total Edges : 9921
Number of Edge Types : 5
Retweet : 2581
MentionsInRetweet : 3668
Tweet : 1517
Replies to : 212
Mentions : 1943
Self-Loops : 1597
Reciprocated Vertex Pair Ratio : 0.0424143556280587
Reciprocated Edge Ratio : 0.081377151799687
Connected Components : 627
Single-Vertex Connected Components : 415
Maximum Vertices in a Connected Component : 1631
Maximum Edges in a Connected Component : 7451
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.737074
Graph Density : 0.000421352389509842
Modularity : 0.37819
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 3,017 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, 13 September 2021 at 23:45 UTC.
The requested start date was Monday, 13 September 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, 33-minute period from Monday, 30 August 2021 at 00:47 UTC to Sunday, 12 September 2021 at 23:20 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:
[472] artificial,intelligence [329] luddy,center [329] center,artificial [329] intelligence,open [324] open,month [204] #govtech,#security [203] #security,govinfosecurity [193] #artificialintelligence,#ai [180] month,#artificialintelligence [150] billmew,#govtech Top Word Pairs in Tweet in G1:
[31] government,technology [30] ãƒ,ム[21] learn,more [20] rewards,programme [18] #saggov,#complexitsimplified [18] #complexitsimplified,#govtech [16] vulnerability,rewards [13] public,sector [13] singapore,govtech [13] govtech,announces Top Word Pairs in Tweet in G2:
[25] sept,24 [25] host,experts [25] conversation,strengthening [25] strengthening,disaster [22] #govtech,#security [21] learn,more [21] govtechnews,#cdwsocial [21] billmew,#govtech [21] #security,govinfosecurity [21] 24,govtechnews Top Word Pairs in Tweet in G3:
[451] artificial,intelligence [325] luddy,center [325] center,artificial [325] intelligence,open [320] open,month [189] #artificialintelligence,#ai [178] month,#artificialintelligence [138] month,govtech [116] read,more [113] case,artificial Top Word Pairs in Tweet in G4:
[29] public,sector [21] ecosistema,govtech [20] transformación,digital [20] baltic,leaders [19] turma,programa [18] os,city [17] #govtech,brazillab [17] brazillab,abriu [17] leaders,2021 [16] digital,sector Top Word Pairs in Tweet in G5:
[161] #govtech,#security [161] #security,govinfosecurity [108] billmew,#govtech [68] #govtech,ukauthority [53] #cybersecurity,drjdrooghaag [53] drjdrooghaag,fabriziobustama [53] fabriziobustama,robmay70 [53] robmay70,ianljones98 [53] ianljones98,nigeltozer [53] nigeltozer,antgrasso Top Word Pairs in Tweet in G6:
[54] #govtech,#technology [37] #government,agency [31] #webinar,#govtech [27] demand,#webinar [23] #technology,#digitaltransformation [21] learn,more [18] #webdesign,#localgovwire [18] #localgovwire,#govtech [17] free,#webinar [17] onyx,gs Top Word Pairs in Tweet in G7:
[22] open,source [15] launched,#digitaltestbedframework [14] start,ups [11] co,create [10] we've,launched [10] #digitaltestbedframework,estonia [10] estonia,looking [10] looking,co [10] create,innovate [10] innovate,start Top Word Pairs in Tweet in G8:
[29] #govtech,#civictech [18] #sdgs,#womenintech [17] government,technology [16] #singapore,agreed [16] agreed,partnership [16] partnership,better [16] better,collaborate [16] collaborate,#climate [16] #climate,action [16] action,environmental Top Word Pairs in Tweet in G9:
[8] artificial,intelligence [7] #govit,#govtech [5] case,artificial [5] intelligence,recruiting [5] recruiting,talent [5] #ai,technology [4] #govgeekclub,newsletter [4] #civictech,#govtech [3] service,delivery [3] putting,together Top Word Pairs in Tweet in G10:
[4] davidmanonfire,abrat626 [4] abrat626,caslernoel [4] caslernoel,zevshalev [4] zevshalev,keep [4] keep,eye [4] eye,companyâ [4] companyâ,contracts [3] bigrigsusa,davidmanonfire [2] eyemagistus,zipnadazerobox [2] zipnadazerobox,jan_forney Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: