The graph represents a network of 3,032 Twitter users whose recent tweets contained "civictech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 16:18 UTC.
The tweets in the network were tweeted over the 4001-day, 22-hour, 25-minute period from Saturday, 25 February 2012 at 01:09 UTC to Wednesday, 08 February 2023 at 23:35 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3032
Unique Edges : 2731
Edges With Duplicates : 8134
Total Edges : 10865
Number of Edge Types : 9
Retweet : 2504
MentionsInRetweet : 3706
Tweet : 1347
MentionsInQuote : 316
Quote : 327
Mentions : 1577
MentionsInReplyTo : 693
Replies to : 384
MentionsInQuoteReply : 11
Self-Loops : 1973
Reciprocated Vertex Pair Ratio : 0.0855700848818536
Reciprocated Edge Ratio : 0.157650042265427
Connected Components : 218
Single-Vertex Connected Components : 99
Maximum Vertices in a Connected Component : 2345
Maximum Edges in a Connected Component : 9372
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.282026
Graph Density : 0.000514907956394304
Modularity : 0.381595
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,032 Twitter users whose recent tweets contained "civictech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 16:18 UTC.
The tweets in the network were tweeted over the 4001-day, 22-hour, 25-minute period from Saturday, 25 February 2012 at 01:09 UTC to Wednesday, 08 February 2023 at 23:35 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[452] civic,tech [193] #civictech,#policing [180] #govtech,#civictech [173] learn,more [170] #civictech,#govtech [128] #dataviz,#civictech [128] last,100 [128] 100,bills [127] #oss,#civictech [108] last,informations Top Word Pairs in Tweet in G1:
[267] civic,tech [95] coming,soon [89] soon,civic [84] tech,event [77] event,calendar [76] calendar,co [60] event,info [54] learn,more [48] entry,civic [48] tech,opportunities Top Word Pairs in Tweet in G2:
[111] #govtech,#civictech [84] #stateandlocal,#governmentit [83] #civictech,#stateandlocal [81] #governmentit,#localgov [71] #publicsector,#cio [64] #cio,#statelocalit [64] learn,more [59] #enterprisesoftware,#publicsector [57] #localgov,#enterprisesoftware [35] make,huge Top Word Pairs in Tweet in G3:
[52] sector,público [38] tecnologías,reinventar [38] iberoamérica,ecosistema [38] ecosistema,actores [38] libro,govtech [38] actores,tecnologías [38] público,2021 [38] govtech,iberoamérica [38] 2021,descarga [38] reinventar,sector Top Word Pairs in Tweet in G4:
[108] informations,political [108] last,informations [108] political,communication [108] check,last [108] communication,govtech [108] govtech,#civictech [108] #civictech,#govtech [107] #mayor,#cityhall [107] #govtech,#mayor [96] #cityhall,thanks Top Word Pairs in Tweet in G5:
[23] connexions,citoyennes [21] projet,#civictech [21] projets,#civictech [20] cher,ami [20] #civictech,#loupeelectorale [20] aujourd'hui,direct [20] lancement,projet [20] ami,lancement [20] #loupeelectorale,fera [20] fera,aujourd'hui Top Word Pairs in Tweet in G6:
[128] 100,bills [128] last,100 [128] #dataviz,#civictech [99] bills,#government [80] #government,#dataviz [35] down,last [35] breaking,down [29] chart,#dataviz [29] bills,one [29] one,chart Top Word Pairs in Tweet in G7:
[83] #ctf,#ctf2022 [64] #ヒーローズリーグ,#civictechjp [62] civictech賞決勝,#ヒーローズリーグ [60] #civictech,#civictechforum [60] #ctf2022,#ctf2022_2023 [56] #ctf2022_2023,#civictech [40] civic,tech [33] #civictechforum,#シビックテック [29] #シビックテック,#シビックテックフォーラム [27] #uracima,#civictech Top Word Pairs in Tweet in G8:
[28] #demopart,#delibdem [28] deliberative,democracy [27] landemore,#ai [27] democracy,masses [27] bring,deliberative [27] pdf,#demopart [27] masses,pdf [27] #ai,bring [27] excellent,paper [27] paper,landemore Top Word Pairs in Tweet in G9:
[17] visitors,viewed [17] many,thanks [17] map,web [17] 000,visitors [17] tool,appreciate [17] #housingnow,tracking [17] tracking,map [17] viewed,#housingnow [17] web,tool [14] #topoli,#civictech Top Word Pairs in Tweet in G10:
[26] re,launching [26] #openknowledgenetwork,today [26] news,re [26] touch,people [26] people,25 [26] big,news [26] 25,countries [26] today,touch [26] launching,#openknowledgenetwork [25] countries,spe Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
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: