The graph represents a network of 3,271 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 Tuesday, 10 September 2019 at 19:08 UTC.
The requested start date was Tuesday, 10 September 2019 at 00:01 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 12-day, 1-hour, 6-minute period from Wednesday, 28 August 2019 at 18:03 UTC to Monday, 09 September 2019 at 19:10 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 : 3271
Unique Edges : 4084
Edges With Duplicates : 3258
Total Edges : 7342
Number of Edge Types : 3
Mentions : 5828
Tweet : 1400
Replies to : 114
Self-Loops : 1400
Reciprocated Vertex Pair Ratio : 0.0420293459338473
Reciprocated Edge Ratio : 0.0806682577565633
Connected Components : 624
Single-Vertex Connected Components : 403
Maximum Vertices in a Connected Component : 1899
Maximum Edges in a Connected Component : 5459
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.256275
Graph Density : 0.000391729002063355
Modularity : 0.547033
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[167] #govtech,ukauthority [154] #govtech,#stateandlocal [143] gainsville,florida [143] florida,wth [143] wth,doing [143] doing,'living [143] 'living,laboratory [143] laboratory,' [143] ',people [143] people,vote Top Word Pairs in Tweet in G1:
[31] government,technology [15] before,know [14] #govtechlive,covits [14] covits,here [14] here,before [14] know,join [14] join,ntt [14] ntt,data [14] data,inspired [14] inspired,kick Top Word Pairs in Tweet in G2:
[143] #govtech,#stateandlocal [26] #stateandlocal,#govtech [23] #security,#govtech [15] utah,county [14] ransomware,attacks [14] u,s [14] gov,tech [13] public,sector [13] north,carolina [12] rural,broadband Top Word Pairs in Tweet in G3:
[94] #bigdata,#datascience [68] read,crowd [68] crowd,sourced [68] sourced,#technews [68] #technews,login [68] login,membership [67] ht,kirkdborne [65] membership,required [50] #govtech,#edtech [47] tryteckedin,read Top Word Pairs in Tweet in G4:
[15] start,up [13] centros,gobierno [12] govlab_bra,public_germany [11] mentors,et [11] gt,gt [11] #condatos2019,agendacaf [11] les,start [10] public,hall [10] bigtentideas,festival [10] festival,east Top Word Pairs in Tweet in G5:
[143] gainsville,florida [143] florida,wth [143] wth,doing [143] doing,'living [143] 'living,laboratory [143] laboratory,' [143] ',people [143] people,vote [143] vote,read [143] read,skip Top Word Pairs in Tweet in G6:
[35] smart,city [26] #smartcities,#iot [20] living,lab [20] #iot,#iiot [18] lab,connected [18] smart,cities [18] #govtech,#planning [18] #iiot,#govtech [16] n,c [15] lessons,cary Top Word Pairs in Tweet in G7:
[23] clear,record [15] rap,genius [15] genius,past [15] past,govtech [15] govtech,rfps [15] rfps,annotated [15] annotated,commentary [15] commentary,parts [15] parts,useful [15] useful,unnecessary Top Word Pairs in Tweet in G8:
[167] #govtech,ukauthority [106] #govtech,diginomica [100] #ukgovtech,community [100] community,news [46] #govtech,#security [43] #govtech,publictech [32] #govtech,govcomputing [27] #govtech,#cloud [26] #cloud,diginomica [24] diginomica,diginomica_gov Top Word Pairs in Tweet in G9:
[77] open,source [71] #lutèce,plateforme [71] plateforme,open [71] source,ville [71] ville,paris [71] paris,bientôt [71] bientôt,utilisée [71] utilisée,par [71] par,des [71] des,villes Top Word Pairs in Tweet in G10:
[22] hurricane,dorian [11] dorian,predicted [10] storm,#hurricanedorian [9] predicted,hit [9] hit,florida [9] florida,category [9] category,4 [9] 4,storm [8] emergencymgtmag,hurricane [6] dorian,#hurricanedorian Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: