The graph represents a network of 3,663 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, 06 September 2021 at 23:41 UTC.
The requested start date was Monday, 06 September 2021 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, 22-hour, 30-minute period from Monday, 23 August 2021 at 00:42 UTC to Sunday, 05 September 2021 at 23:13 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 : 3663
Unique Edges : 2138
Edges With Duplicates : 9123
Total Edges : 11261
Number of Edge Types : 5
Retweet : 3409
MentionsInRetweet : 4393
Tweet : 1467
Mentions : 1809
Replies to : 183
Self-Loops : 1561
Reciprocated Vertex Pair Ratio : 0.0276900655817343
Reciprocated Edge Ratio : 0.0538879697471047
Connected Components : 638
Single-Vertex Connected Components : 408
Maximum Vertices in a Connected Component : 2264
Maximum Edges in a Connected Component : 8984
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.867753
Graph Density : 0.000315418939121834
Modularity : 0.371195
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 3,663 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, 06 September 2021 at 23:41 UTC.
The requested start date was Monday, 06 September 2021 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, 22-hour, 30-minute period from Monday, 23 August 2021 at 00:42 UTC to Sunday, 05 September 2021 at 23:13 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:
[831] unity's,govtech [815] govtech,division [801] game,engine [798] inside,look [798] look,unity's [798] division,lesser [798] lesser,known [798] known,arm [798] arm,popular [798] popular,game Top Word Pairs in Tweet in G1:
[793] unity's,govtech [792] inside,look [792] look,unity's [792] govtech,division [792] division,lesser [792] lesser,known [792] known,arm [792] arm,popular [792] popular,game [792] game,engine Top Word Pairs in Tweet in G2:
[27] government,technology [24] digital,government [24] learn,more [21] virtual,digital [19] rewards,programme [16] #saggov,#complexitsimplified [16] #complexitsimplified,#govtech [15] government,summit [15] vulnerability,rewards [14] #govtech,#governmenttechnology Top Word Pairs in Tweet in G3:
[547] artificial,intelligence [457] luddy,center [457] center,artificial [457] intelligence,open [454] open,month [293] #artificialintelligence,#ai [280] month,#artificialintelligence [267] #govtech,#security [267] #security,govinfosecurity [202] billmew,#govtech Top Word Pairs in Tweet in G4:
[30] #govtech,#civictech [24] local,government [23] govtechnews,#cdwsocial [22] learn,more [16] covid,19 [13] sept,24 [13] host,experts [13] conversation,strengthening [13] strengthening,disaster [12] #software,#govtech Top Word Pairs in Tweet in G5:
[17] ecosistema,govtech [16] os,city [13] startup,#govtech [13] primera,sesión [12] fomentar,ecosistema [12] sesión,semipresencial [11] turma,programa [11] programa,aceleração [11] perdiste,cerramos [11] cerramos,semana Top Word Pairs in Tweet in G6:
[21] #govtech,#govcon [15] onyx,gs [11] case,mato [11] mato,grosso [11] grosso,amapá [11] amapá,illustrates [11] illustrates,road [11] road,help [11] help,scale [11] scale,#interoperability Top Word Pairs in Tweet in G7:
[47] next,trip [47] trip,around [47] around,iconic [47] iconic,golden [47] golden,gate [47] gate,bridge [47] bridge,san [47] san,francisco [47] francisco,powered [47] powered,hydrogen Top Word Pairs in Tweet in G8:
[16] #webdesign,#localgovwire [16] #localgovwire,#govtech [10] martinlindla,aws_gov [9] city,incubator [6] aws_gov,join [6] miss,chance [6] learn,more [5] aws,initiate [5] initiate,day [5] day,online Top Word Pairs in Tweet in G9:
[6] ridekc,leading [6] leading,way [6] way,transit [6] transit,industry [6] industry,adapts [6] adapts,recovers [6] recovers,pandemic [6] pandemic,see [6] see,fare [6] fare,reductions Top Word Pairs in Tweet in G10:
[18] #esri,#arcgis [13] #govtech,#statelocalit [13] #gis,#esri [11] #arcgis,field [10] use,#webhooks [10] #webhooks,automate [10] automate,workflows [10] workflows,#arcgis [10] field,#maps [10] #maps,power Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: