The graph represents a network of 3,351 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, 10 February 2020 at 07:10 UTC.
The requested start date was Monday, 10 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 2-hour, 8-minute period from Monday, 27 January 2020 at 09:31 UTC to Sunday, 09 February 2020 at 11:40 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 : 3351
Unique Edges : 3775
Edges With Duplicates : 3193
Total Edges : 6968
Number of Edge Types : 4
Mentions : 1811
MentionsInRetweet : 3480
Tweet : 1547
Replies to : 130
Self-Loops : 1547
Reciprocated Vertex Pair Ratio : 0.0319696559198049
Reciprocated Edge Ratio : 0.0619585192964033
Connected Components : 639
Single-Vertex Connected Components : 410
Maximum Vertices in a Connected Component : 1800
Maximum Edges in a Connected Component : 5073
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.667784
Graph Density : 0.000339306154990491
Modularity : 0.539435
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 3,351 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, 10 February 2020 at 07:10 UTC.
The requested start date was Monday, 10 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 2-hour, 8-minute period from Monday, 27 January 2020 at 09:31 UTC to Sunday, 09 February 2020 at 11:40 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:
[199] govtech,apenas [199] apenas,coincidência [199] coincidência,também [199] também,fato [199] fato,os [199] os,mesmos [199] mesmos,envolvidos [199] envolvidos,edtech [199] edtech,estivessem [199] estivessem,reunidos Top Word Pairs in Tweet in G1:
[15] gov,tech [15] digital,divide [14] bus,uber [13] government,technology [13] trend,somewhere [13] somewhere,between [13] between,bus [13] state,states [13] states,2020 [13] 2020,broadband Top Word Pairs in Tweet in G2:
[157] #govtech,#stateandlocal [34] #security,#govtech [23] state,states [23] states,2020 [23] broadband,critical [23] critical,infrastructure [22] 2020,broadband [21] #futurestructure,#govtech [21] dustinhaisler,teritakai [21] teritakai,philbertolini Top Word Pairs in Tweet in G3:
[97] #cybersecurity,#fintech [94] #bugbounty,#gdpr [94] #gdpr,#govtech [72] #fintech,#healthtech [71] #healthtech,#legaltech [69] #legaltech,#bugbounty [57] #legaltech,#healthtech [50] #fintech,#legaltech [41] #healthtech,#fintech [40] #healthtech,#bugbounty Top Word Pairs in Tweet in G4:
[198] govtech,apenas [198] apenas,coincidência [198] coincidência,também [198] também,fato [198] fato,os [198] os,mesmos [198] mesmos,envolvidos [198] envolvidos,edtech [198] edtech,estivessem [198] estivessem,reunidos Top Word Pairs in Tweet in G5:
[53] #civictech,#govtech [27] #govtech,#opengovernment [24] puut,wallet [22] #ewallets,#digitalwallets [21] #healthtech,#govtech [20] technology,revolutionize [20] #fintech,#healthtech [20] #govtech,#edtech [20] #edtech,#agtech [18] #digitalwallets,#govtech Top Word Pairs in Tweet in G6:
[42] really,hope [42] hope,becomes [42] becomes,canary [42] canary,coal [42] coal,mine [42] mine,states [42] states,promoting [42] promoting,online [42] online,voting [42] voting,take Top Word Pairs in Tweet in G7:
[104] #govtech,ukauthority [67] #govtech,diginomica [52] #govtech,#security [35] #govtech,publictech [33] public,sector [24] #cio,#cdo [23] #govtech,govcomputing [19] digital,transformation [14] diginomica,diginomica_gov [12] #ukgovtech,community Top Word Pairs in Tweet in G8:
[7] coronavirus,scams [7] scams,prepare [7] prepare,deluge [7] deluge,phishing [7] phishing,emails [7] emails,fake [7] fake,alerts [6] #coronavirus,#preparedness [6] ukcybersecassoc,coronavirus [5] #coronavirus,eric_holdeman Top Word Pairs in Tweet in G9:
[15] govtech,ecosystem [13] time,build [13] build,govtech [13] ecosystem,germany [12] govtech,program [12] program,denmark [8] latest,blog [7] germany,dorobaer [7] dorobaer,hbraun [7] hbraun,tj_tweets Top Word Pairs in Tweet in G10:
[33] #iot,#iiot [31] smart,cities [27] #aia,#apwa [20] #cto,#cio [19] #smartcities,#iot [17] #apwa,#govtech [17] #aia,#planning [16] #smartcities,#planning [16] #govtech,#aia [15] smart,city Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 G7:
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Top Mentioned in G9:
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 G10: