The graph represents a network of 1,945 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, 26 December 2022 at 01:37 UTC.
The requested start date was Monday, 26 December 2022 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, 0-hour, 52-minute period from Monday, 12 December 2022 at 02:00 UTC to Sunday, 25 December 2022 at 02:53 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 : 1945
Unique Edges : 1609
Edges With Duplicates : 4050
Total Edges : 5659
Number of Edge Types : 5
Retweet : 1158
MentionsInRetweet : 2018
Replies to : 70
Mentions : 1306
Tweet : 1107
Self-Loops : 1144
Reciprocated Vertex Pair Ratio : 0.0467565290648694
Reciprocated Edge Ratio : 0.0893360160965795
Connected Components : 508
Single-Vertex Connected Components : 344
Maximum Vertices in a Connected Component : 727
Maximum Edges in a Connected Component : 3376
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.992489
Graph Density : 0.000657219630370159
Modularity : 0.435372
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,945 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, 26 December 2022 at 01:37 UTC.
The requested start date was Monday, 26 December 2022 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, 0-hour, 52-minute period from Monday, 12 December 2022 at 02:00 UTC to Sunday, 25 December 2022 at 02:53 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:
[228] #ces2023,#ces [204] reddit,enricomolinari [203] #marketing,#metaverse [203] #fintech,#marketing [201] #metaverse,#finserv [158] #finserv,#govtech [131] job,comms [131] twt_kerjamy,looking [131] hai,twt_kerjamy [131] years,banking Top Word Pairs in Tweet in G1:
[69] government,technology [44] more,#govtech [40] #cybersecurity,#govtech [38] double,number [38] 2015,#cybersecurity [38] defense,experienced [38] personally,identifiable [38] government,accountability [38] experienced,nearly [38] dept,defense Top Word Pairs in Tweet in G2:
[227] #ces2023,#ces [204] reddit,enricomolinari [203] #marketing,#metaverse [203] #fintech,#marketing [201] #metaverse,#finserv [158] #finserv,#govtech [120] enricomolinari,#ces2023 [120] #ces,#fintech [120] #nfts,reddit [120] value,#nfts Top Word Pairs in Tweet in G3:
[31] govtechnews,#cdwsocial [30] #govtech,#cdwsocial [19] mobile,app [18] fedtechmagazine,#govtech [16] sophisticated,criminals [16] created,mobile [16] architecture,hot [16] greatest,#cybersecurity [16] eye,serverless [16] type,attack Top Word Pairs in Tweet in G4:
[131] experience,years [131] corporate,experience [131] months,govtech [131] twt_kerjamy,looking [131] hai,twt_kerjamy [131] years,banking [131] comms,corporate [131] looking,job [131] banking,months [131] job,comms Top Word Pairs in Tweet in G5:
[11] govtechlatam,idb_lab [11] agenda,#govtech [10] govtech,groundbreakers [10] través,#innovaciónabierta [9] #gobiernoabierto,junto [9] portales,datos [9] idb_lab,invitan [9] junto,redmatriz [9] datos,abiertos [9] hoy,módulo Top Word Pairs in Tweet in G6:
[10] demo,night [9] govtech,campus [9] lilithwittmann,honkhase [9] honkhase,govtechcampusde [9] warum,fuer [9] govtechcampusde,hab [9] fuer,fatalen [9] derweil,aufgeschrieben [9] krohncaroline,lilithwittmann [9] aufgeschrieben,warum Top Word Pairs in Tweet in G7:
[58] upgrading,hvac [58] provide,better [58] know,upgrading [58] article,schools [58] systems,provide [58] better,indoor [58] air,quality [58] schools,know [58] indoor,air [58] hvac,systems Top Word Pairs in Tweet in G8:
[12] reliableinvesto,noahdv84 [12] massumeh18,acinvestorblog [12] heiligenbergnik,reliableinvesto [12] cassiuscuvee,heiligenbergnik [12] teocamelteaux,masecapital [12] masecapital,massumeh18 [12] noahdv84,teocamelteaux [10] investorventure,cassiuscuvee [2] gurgavin,ss [2] low,emission Top Word Pairs in Tweet in G9:
[2] help,way [2] starlink,help [2] logistical,data [2] way,logistical [2] moscow,night [2] california,alone [2] government,subsidies [2] data,moscow [2] elonmusk,starlink Top Word Pairs in Tweet in G10:
[17] included,govtech [17] digitalization,included [17] focus,digitalization [17] global,recognition [17] leaders,fastest [17] strong,focus [17] recognition,strong [17] govtech,leaders [17] fastest,agile [16] agile,digit Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: