The graph represents a network of 3,820 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, 03 December 2019 at 07:09 UTC.
The requested start date was Monday, 02 December 2019 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 12-day, 7-hour, 15-minute period from Tuesday, 19 November 2019 at 17:31 UTC to Monday, 02 December 2019 at 00:47 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 : 3820
Unique Edges : 4663
Edges With Duplicates : 3513
Total Edges : 8176
Number of Edge Types : 3
Tweet : 1268
Mentions : 6806
Replies to : 102
Self-Loops : 1268
Reciprocated Vertex Pair Ratio : 0.0395504646639291
Reciprocated Edge Ratio : 0.0760914760914761
Connected Components : 588
Single-Vertex Connected Components : 390
Maximum Vertices in a Connected Component : 2602
Maximum Edges in a Connected Component : 6568
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.223393
Graph Density : 0.000329709951208411
Modularity : 0.558649
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,820 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, 03 December 2019 at 07:09 UTC.
The requested start date was Monday, 02 December 2019 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 12-day, 7-hour, 15-minute period from Tuesday, 19 November 2019 at 17:31 UTC to Monday, 02 December 2019 at 00:47 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:
[619] voting,machines [542] senate,report [542] report,contains [542] contains,entirely [542] entirely,redacted [542] redacted,section [541] assessing,voting [541] machines,senate [541] section,russian [541] russian,activity Top Word Pairs in Tweet in G1:
[617] voting,machines [541] senate,report [541] report,contains [541] contains,entirely [541] entirely,redacted [541] redacted,section [540] assessing,voting [540] machines,senate [540] section,russian [540] russian,activity Top Word Pairs in Tweet in G2:
[142] #govtech,#stateandlocal [35] login,required [35] required,access [32] access,news [32] news,links [32] links,over [32] over,2400 [32] register,today [30] latest,#technews [27] #security,#govtech Top Word Pairs in Tweet in G3:
[29] government,technology [15] chief,algorithms [15] creates,chief [14] algorithms,officer [14] officer,position [13] york,city [13] city,creates [12] civic,tech [10] 50,years [10] collaboration,key Top Word Pairs in Tweet in G4:
[92] #govtech,ukauthority [55] #govtech,diginomica [29] govtechcloud,#ukgovtech [29] #ukgovtech,community [29] community,news [25] govtech,france [22] dreamforce,2019 [20] public,sector [19] services,publics [18] start,ups Top Word Pairs in Tweet in G5:
[31] aclima,aidtechnology [31] aidtechnology,ambiencedata [31] ambiencedata,amcsgroup1 [31] amcsgroup1,auntbertha [31] auntbertha,autogridsystems [31] autogridsystems,azavea [31] azavea,blackberry [31] blackberry,getblyncsy [20] #analytical,#report [20] dk_analytics,aclima Top Word Pairs in Tweet in G6:
[21] américa,latina [18] gobierno,abierto [17] abierto,innovador [14] #cali,segundo [14] segundo,día [14] día,trabajo [14] trabajo,red [14] red,ocdeenespanol [14] ocdeenespanol,gobierno [14] innovador,américa Top Word Pairs in Tweet in G7:
[97] #govtech,diginomica [81] #ukgovtech,community [81] community,news [63] #govtech,ukauthority [52] #govtech,#security [36] #govtech,govcomputing [36] diginomica,diginomica_gov [33] #govtech,publictech [32] dreamforce,2019 [18] #govtech,#cloud Top Word Pairs in Tweet in G8:
[50] around,world [49] millions,people [49] people,around [49] world,continue [49] continue,suffer [49] suffer,poverty [49] poverty,#data [49] #data,#technology [49] #technology,enable [49] enable,governments Top Word Pairs in Tweet in G9:
[10] usc,using [10] data,platform [10] platform,help [10] help,government [10] government,groups [10] groups,research [9] state,technology [8] end,sight [8] sight,firstnet [8] firstnet,interoperability Top Word Pairs in Tweet in G10:
[21] #iot,#iiot [19] #iiot,#govtech [12] #govtech,#statelocalit [12] #bigdata,#datascience [11] #cio,#cto [9] duplication,#technology [9] #technology,resources [9] resources,within [9] within,#government [9] #government,blocks Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: