The graph represents a network of 694 Twitter users whose tweets in the requested range contained "civictech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 20 February 2020 at 02:14 UTC.
The requested start date was Thursday, 20 February 2020 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 8-day, 12-hour, 29-minute period from Thursday, 06 February 2020 at 01:23 UTC to Friday, 14 February 2020 at 13:53 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 : 694
Unique Edges : 938
Edges With Duplicates : 190
Total Edges : 1128
Number of Edge Types : 4
Tweet : 171
MentionsInRetweet : 688
Mentions : 258
Replies to : 11
Self-Loops : 171
Reciprocated Vertex Pair Ratio : 0.0550351288056206
Reciprocated Edge Ratio : 0.104328523862375
Connected Components : 122
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 131
Maximum Edges in a Connected Component : 243
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.079959
Graph Density : 0.00187340677254222
Modularity : 0.767741
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 694 Twitter users whose tweets in the requested range contained "civictech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 20 February 2020 at 02:14 UTC.
The requested start date was Thursday, 20 February 2020 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 8-day, 12-hour, 29-minute period from Thursday, 06 February 2020 at 01:23 UTC to Friday, 14 February 2020 at 13:53 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 : civictech
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:
[52] #civictech,#govtech [30] iowa,app [29] app,monday [29] monday,struggling [29] struggling,appear [29] appear,earnest [29] earnest,team [28] #stateandlocal,#security [28] cydharrell,iowa [27] #security,#civictech Top Word Pairs in Tweet in G1:
[29] iowa,app [29] app,monday [29] monday,struggling [29] struggling,appear [29] appear,earnest [29] earnest,team [28] cydharrell,iowa [18] team,it'sâ [9] hey,#civictech [9] #civictech,everyone Top Word Pairs in Tweet in G2:
[3] civic,tech [2] #govtech,#civictech [2] ãƒ,ム[2] ÿã,šã [2] roubos,cargas [2] join,team [2] #civictech,#citizenos [2] democracy,tech [2] tech,next [2] next,hot Top Word Pairs in Tweet in G3:
[10] #civictech,#govtech [9] civic,tech [7] #govtech,#stateandlocal [5] govtechnews,civic [3] tech,oklahoma [3] oklahoma,city [3] city,seeks [3] seeks,first [3] first,innovation [3] innovation,officer Top Word Pairs in Tweet in G4:
[10] xbond49,ursbolt [10] ursbolt,neiraosci [10] neiraosci,oluskayacan [10] oluskayacan,davidbundirisk [10] davidbundirisk,psb_dc [10] psb_dc,henriarslanian [10] henriarslanian,capital_finserv [10] capital_finserv,fintech_matt [10] fintech_matt,ottlegalrebels [9] efipm,xbond49 Top Word Pairs in Tweet in G5:
[17] favorite,part [17] part,#africandroneforum [17] #africandroneforum,bringing [17] bringing,young [17] young,pioneers [17] pioneers,11 [17] 11,african [17] african,countries [17] countries,#adf2020 [16] justinarenstein,favorite Top Word Pairs in Tweet in G6:
[6] join,nyc's [6] nyc's,best [6] best,#civictech [6] #civictech,#opendata [6] #opendata,#servicedesign [6] #servicedesign,conference [6] conference,nycsodata [6] nycsodata,hard [6] hard,work [6] work,scheduling Top Word Pairs in Tweet in G7:
[9] tech,good [9] good,enthusiasts [9] enthusiasts,latitudestfg [9] latitudestfg,invitent [9] invitent,croiser [9] croiser,expériences [9] expériences,service [9] service,projets [9] projets,tech [8] learoux12,tech Top Word Pairs in Tweet in G8:
[19] participation,citoyenne [18] #fusion7892,hautsdeseinefr [18] citoyenne,ouvrant [13] hautsdeseinefr,âž [13] âž,les_yvelines [13] les_yvelines,sâ [13] sâ,engagent [13] engagent,dã [13] dã,marche [13] marche,participation Top Word Pairs in Tweet in G9:
[8] those,interested [8] interested,promoting [8] promoting,participation [8] participation,tech [8] tech,bjpols [8] bjpols,paper [8] paper,vote [8] vote,experiment [7] participatory,those [4] 2020,year Top Word Pairs in Tweet in G10:
[11] call,apply [11] apply,impostor [11] impostor,syndrome [11] syndrome,#grants [11] #grants,female [11] female,coders [11] coders,biggest [11] biggest,#floss [10] digitalfems,call [10] #floss,# Top Replied-To in Entire Graph:
Top Replied-To in G4:
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: