The graph represents a network of 3,483 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 Wednesday, 24 April 2019 at 19:00 UTC.
The requested start date was Tuesday, 23 April 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 11-day, 11-hour, 0-minute period from Thursday, 11 April 2019 at 13:00 UTC to Tuesday, 23 April 2019 at 00:01 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 : 3483
Unique Edges : 4272
Edges With Duplicates : 2989
Total Edges : 7261
Number of Edge Types : 3
Mentions : 5524
Tweet : 1631
Replies to : 106
Self-Loops : 1631
Reciprocated Vertex Pair Ratio : 0.0313193588162762
Reciprocated Edge Ratio : 0.0607364897178384
Connected Components : 695
Single-Vertex Connected Components : 477
Maximum Vertices in a Connected Component : 1961
Maximum Edges in a Connected Component : 5226
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.313976
Graph Density : 0.000344827415610045
Modularity : 0.560165
NodeXL Version : 1.0.1.411
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[125] gt,gt [121] #cybersecurity,#fintech [107] smart,city [100] #ukgovtech,community [100] community,news [98] #fintech,#legaltech [95] #govtech,ukauthority [92] artificial,intelligence [88] douglittlejr,#cybersecurity [73] #civictech,#govtech Top Word Pairs in Tweet in G1:
[38] government,technology [18] new,york [18] san,francisco [13] smart,city [13] facial,recognition [11] recognition,technology [11] private,sector [10] ban,facial [10] city,watching [9] smart,cities Top Word Pairs in Tweet in G2:
[29] smart,city [28] #civictech,#govtech [23] benefits,screening [22] #govtech,#civictech [21] govtechnews,new [18] #localgov,#govtech [18] plus,more [18] more,#civictech [17] north,dakota [17] public,benefits Top Word Pairs in Tweet in G3:
[37] govtech,summit [33] save,date [32] people,first [31] public,services [30] date,14 [30] summit,2019 [29] digitales,sector [29] sector,público [29] público,reducir [29] reducir,pobreza Top Word Pairs in Tweet in G4:
[119] #cybersecurity,#fintech [95] #fintech,#legaltech [85] douglittlejr,#cybersecurity [68] #healthtech,#bugbounty [63] #bugbounty,#ciso [59] #legaltech,#healthtech [59] #gdpr,#govtech [55] #fintech,#healthtech [52] #bigdata,#datascience [50] #ciso,#gdpr Top Word Pairs in Tweet in G5:
[116] gt,gt [99] #ukgovtech,community [99] community,news [95] #govtech,ukauthority [42] #govtech,#security [36] #govtech,govcomputing [36] #govtech,nextgov [34] #govtech,publictech [32] gt,https [32] https,t Top Word Pairs in Tweet in G6:
[39] smart,cities [35] smart,city [32] #smartcities,#iot [24] #iot,#iiot [13] san,diego [13] #govtech,#planning [11] cities,week [11] week,san [11] diego,week [11] week,april Top Word Pairs in Tweet in G7:
[28] city,managers [20] elected,officials [18] managers,elected [18] officials,play [17] play,key [17] key,role [17] role,disaster [17] disaster,response [16] crisis,management [15] #iaem,#nema Top Word Pairs in Tweet in G8:
[19] #gis,#mapping [18] #tech,#govtech [17] #mapping,#maps [14] #cio,#cto [13] user,conference [12] 1,week [12] esri,#mwuc [12] #gio,#esri [11] week,gispublicsafety [11] #cto,#gio Top Word Pairs in Tweet in G9:
[16] #civic,#govtech [13] #govtech,#civic [10] chicago,police's [10] #govtech,#publicsafety [9] st,paul [9] #cio,#govtech [8] #smartcity,#govtech [7] worth,read [7] #tech,#govtech [7] police's,gang Top Word Pairs in Tweet in G10:
[57] dark,web [57] web,matured [57] matured,robust [57] robust,economy [57] economy,scale [57] scale,seasoned [57] criminals,selling [57] selling,products [57] products,services [55] seasoned,criminals Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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