The graph represents a network of 3,250 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 September 2020 at 22:02 UTC.
The requested start date was Monday, 28 September 2020 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, 21-hour, 59-minute period from Monday, 14 September 2020 at 01:21 UTC to Sunday, 27 September 2020 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 : 3250
Unique Edges : 2952
Edges With Duplicates : 8428
Total Edges : 11380
Number of Edge Types : 5
Tweet : 1497
Retweet : 2725
MentionsInRetweet : 4653
Mentions : 2395
Replies to : 110
Self-Loops : 1518
Reciprocated Vertex Pair Ratio : 0.0518344709897611
Reciprocated Edge Ratio : 0.0985601297911174
Connected Components : 611
Single-Vertex Connected Components : 397
Maximum Vertices in a Connected Component : 1969
Maximum Edges in a Connected Component : 9220
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.61608
Graph Density : 0.000466983924047636
Modularity : 0.389415
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,250 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 September 2020 at 22:02 UTC.
The requested start date was Monday, 28 September 2020 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, 21-hour, 59-minute period from Monday, 14 September 2020 at 01:21 UTC to Sunday, 27 September 2020 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:
[202] #govtech,#stateandlocal [156] #govtech,#security [152] #security,govinfosecurity [126] covid,19 [122] billmew,#govtech [100] learn,more [92] public,sector [77] wef,enricomolinari [77] liderów,innowacji [74] smart,cities Top Word Pairs in Tweet in G1:
[152] #govtech,#security [151] #security,govinfosecurity [121] billmew,#govtech [76] wef,enricomolinari [74] technative,#iot [55] smart,cities [51] #iot,#iiot [46] protecting,#smartcities [46] #smartcities,technative [46] #iot,#iotsecurity Top Word Pairs in Tweet in G2:
[15] covid,19 [14] high,speed [14] initiatieven,uitgelicht [14] #civictech,#govtech [12] govtech,saasの株式会社hab [12] saasの株式会社hab,co [12] co,に出資 [11] speed,internet [11] ハローワークapi連携によるhr,govtech [10] remote,government Top Word Pairs in Tweet in G3:
[163] #govtech,#stateandlocal [43] government,experience [23] #stateandlocal,#futurestructure [21] covid,19 [21] #stateandlocal,#publicsafety [21] #stateandlocal,#network [21] digital,government [21] 2020,government [21] honored,recognized [18] experience,award Top Word Pairs in Tweet in G4:
[51] 30,septiembre [39] sector,público [38] américa,latina [31] quedes,fuera [26] cómo,futuro [26] busca,fortalecer [26] fortalecer,vínculos [26] vínculos,sector [25] #govtech,#localgov [24] aprenda,expertos Top Word Pairs in Tweet in G5:
[38] #fedgov,#govtech [36] learn,more [36] virtual,event [18] best,practices [18] exclusive,access [18] access,webinar [18] webinar,series [17] #govtech,#microsoft365 [16] 11,00am [16] #delltechworld,#govtech Top Word Pairs in Tweet in G6:
[28] 29,september [22] govtech,summit [21] panel,#govtechsummit [17] join,rachel0404 [17] rachel0404,bedifrent [17] bedifrent,the_panoply [17] #govtech,govcomputing [16] #govtechsummit,29 [15] september,join [15] future,london Top Word Pairs in Tweet in G7:
[25] road,community [25] community,event [25] event,2020 [19] participants,56 [17] nordicinstitute,road [12] 56,countries [12] countries,already [12] already,join [12] join,online [11] 2020,approaching Top Word Pairs in Tweet in G8:
[27] #gis,#esri [25] #esri,#arcgis [23] #govtech,#statelocalit [14] #gio,#govtech [10] #govtech,#gis [8] #arcgis,#govtech [7] #spatial,#geospatial [7] #arcgis,powered [6] esrifederalgovt,esrislgov [5] #gio,#tech Top Word Pairs in Tweet in G9:
[19] #iaem,#nema [18] #nema,#dhs [14] #security,#govtech [14] covid,19 [11] meet,insectothopter [11] insectothopter,robotic [11] robotic,dragonfly [11] dragonfly,spy [11] spy,#drone [11] #drone,brought Top Word Pairs in Tweet in G10:
[76] liderów,innowacji [68] govtech,polska [67] gali,liderów [67] innowacji,govtech [60] premier,morawieckim [57] podczas,gali [55] morawieckim,#kprm [55] #kprm,podczas [51] pisorgpl,premier [30] polska,chcemy Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: