The graph represents a network of 3,480 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, 17 February 2020 at 07:09 UTC.
The requested start date was Monday, 17 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 11-day, 23-hour, 25-minute period from Monday, 03 February 2020 at 12:00 UTC to Saturday, 15 February 2020 at 11:26 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 : 3480
Unique Edges : 3960
Edges With Duplicates : 3123
Total Edges : 7083
Number of Edge Types : 4
Mentions : 1886
Tweet : 1560
MentionsInRetweet : 3480
Replies to : 157
Self-Loops : 1560
Reciprocated Vertex Pair Ratio : 0.035778175313059
Reciprocated Edge Ratio : 0.0690846286701209
Connected Components : 620
Single-Vertex Connected Components : 391
Maximum Vertices in a Connected Component : 1967
Maximum Edges in a Connected Component : 5183
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.376892
Graph Density : 0.000334767224033858
Modularity : 0.558761
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 3,480 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, 17 February 2020 at 07:09 UTC.
The requested start date was Monday, 17 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 11-day, 23-hour, 25-minute period from Monday, 03 February 2020 at 12:00 UTC to Saturday, 15 February 2020 at 11:26 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:
[268] govtech,apenas [268] apenas,coincidência [268] coincidência,também [268] também,fato [268] fato,os [268] os,mesmos [268] mesmos,envolvidos [268] envolvidos,edtech [268] edtech,estivessem [268] estivessem,reunidos Top Word Pairs in Tweet in G1:
[183] #govtech,#stateandlocal [43] #security,#govtech [25] state,states [25] states,2020 [25] broadband,critical [25] critical,infrastructure [24] 2020,broadband [23] #policy,#govtech [22] potential,make [21] #futurestructure,#govtech Top Word Pairs in Tweet in G2:
[20] government,technology [20] state,local [19] bus,uber [18] trend,somewhere [18] somewhere,between [18] between,bus [18] local,government [18] state,states [18] states,2020 [18] 2020,broadband Top Word Pairs in Tweet in G3:
[267] govtech,apenas [267] apenas,coincidência [267] coincidência,também [267] também,fato [267] fato,os [267] os,mesmos [267] mesmos,envolvidos [267] envolvidos,edtech [267] edtech,estivessem [267] estivessem,reunidos Top Word Pairs in Tweet in G4:
[88] #cybersecurity,#fintech [81] #gdpr,#govtech [80] #govtech,#bugbounty [79] #healthtech,#fintech [67] #bugbounty,#gdpr [67] #legaltech,#healthtech [66] #fintech,#legaltech [65] #bugbounty,#legaltech [63] #cybersecurity,#healthtech [58] #govtech,#cybersecurity Top Word Pairs in Tweet in G5:
[65] 100,startups [63] ie,govtech [55] govtech,2020 [41] lista,ie [40] publictechlab,iegpaffairs [38] top,100 [20] nuestra,lista [17] startups,govtech [16] govtech,iberoamérica [16] iberoamérica,páslene Top Word Pairs in Tweet in G6:
[70] furious,iowa [70] iowa,caucus [70] caucus,debacle [70] debacle,fine [70] fine,furious [70] furious,guess [70] guess,still [69] anthonygarvan,furious [52] still,governme [17] still,governmeâ Top Word Pairs in Tweet in G7:
[84] #govtech,ukauthority [63] #govtech,diginomica [44] #govtech,#security [28] defense,sec [27] #govtech,publictech [25] #cio,#cdo [17] digital,transformation [17] 10,billion [17] public,sector [16] diginomica,diginomica_gov Top Word Pairs in Tweet in G8:
[21] esri,#fedgis [20] #gis,#mapping [17] #cio,#cto [16] #esri,#arcgis [14] #fedgis,plenary [14] #esri,#gis [13] #mapping,#maps [13] #maps,#govtech [13] plenary,#esri [13] #govtech,#statelocalit Top Word Pairs in Tweet in G9:
[51] sabe,governo [51] governo,digital [51] digital,eliminar [51] eliminar,papel [51] papel,economizar [51] economizar,tempo [51] tempo,frente [51] frente,cidadania [51] cidadania,digital [51] digital,tem Top Word Pairs in Tweet in G10:
[9] #coronavirus,#preparedness [7] public,health [7] #preparedness,eric_holdeman [6] #coronavirus,#publichealth [5] respond,2019 [5] 2019,ncov [5] ncov,#coronavirus [5] coronavirus,#coronavirus [5] #publichealth,#preparedness [4] strong,opinions Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 G4:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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:
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Top Tweeters in G9:
Top Tweeters in G10: