The graph represents a network of 3,805 Twitter users whose recent tweets contained "civichall", 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 Friday, 10 February 2023 at 00:11 UTC.
The tweets in the network were tweeted over the 2899-day, 5-hour, 23-minute period from Monday, 02 March 2015 at 21:14 UTC to Wednesday, 08 February 2023 at 02:38 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 : 3805
Unique Edges : 4339
Edges With Duplicates : 10915
Total Edges : 15254
Number of Edge Types : 9
Retweet : 2954
MentionsInRetweet : 4968
Mentions : 2166
Tweet : 1122
MentionsInReplyTo : 2822
Replies to : 667
Quote : 144
MentionsInQuote : 333
MentionsInQuoteReply : 78
Self-Loops : 1995
Reciprocated Vertex Pair Ratio : 0.0700353248348948
Reciprocated Edge Ratio : 0.130902827615904
Connected Components : 335
Single-Vertex Connected Components : 196
Maximum Vertices in a Connected Component : 2414
Maximum Edges in a Connected Component : 10469
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.516357
Graph Density : 0.000481338545358575
Modularity : 0.372439
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,805 Twitter users whose recent tweets contained "civichall", 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 Friday, 10 February 2023 at 00:11 UTC.
The tweets in the network were tweeted over the 2899-day, 5-hour, 23-minute period from Monday, 02 March 2015 at 21:14 UTC to Wednesday, 08 February 2023 at 02:38 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 : civichall
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:
[349] arida_civichall,lt [221] #山口市民会館,大ホール [213] 日,16 [213] 00開演,#山口市民会館 [213] 11,日 [213] 16,00開演 [150] ステージに立てる事を感謝しに,先祖のお墓参りをしてきました [150] 先祖のお墓参りをしてきました,やっと来れた山口 [150] 松岡家は山口の出身です,久しぶりに帰って来れた山口で [150] 感謝を作品で伝える所存です,11 Top Word Pairs in Tweet in G1:
[71] civichall,honda [67] #civictech,world [67] digest,news [66] #firstpost,digest [65] news,analysis [61] analysis,#civictech [53] civic,hall [50] much,more [47] edition,#firstpost [47] more,latest Top Word Pairs in Tweet in G2:
[47] engagement,platforms [42] civic,tech [42] next,generation [39] mlsif,mstem [39] generation,engagement [33] public,interest [31] mstem,civichall [27] mlsif,civichall [24] mstem,civicist [21] emerging,technologies Top Word Pairs in Tweet in G3:
[349] arida_civichall,lt [119] 日,開場 [111] gt,日時 [91] 金子三勇士ピアノ,トークリサイタル [76] 13,30 [74] 入場無料,要整理券 [74] 開場,13 [69] 30,開演 [67] 開演14,00 [67] 26,日 Top Word Pairs in Tweet in G4:
[22] civic,hall [10] next,generation [8] civic,tech [7] campaign,tech [7] covid,19 [5] tech,keeps [5] shadow,economy [5] time,next [5] bed,stuy [5] civichall,brass Top Word Pairs in Tweet in G5:
[212] 16,00開演 [212] 00開演,#山口市民会館 [212] #山口市民会館,大ホール [212] 日,16 [205] 11,日 [150] 先祖代々,松岡家は山口の出身です [150] 感謝を作品で伝える所存です,11 [150] 松岡家は山口の出身です,久しぶりに帰って来れた山口で [150] ステージに立てる事を感謝しに,先祖のお墓参りをしてきました [150] 久しぶりに帰って来れた山口で,ステージに立てる事を感謝しに Top Word Pairs in Tweet in G6:
[67] 良い席はお早めにお買い求めください,#山口市民会館 [67] チケット好評発売中です,良い席はお早めにお買い求めください [60] #山口市民会館,#ストリートピアノ [59] #オーケストラ,#新世界 [59] 日本センチュリー交響楽団,山口市特別演奏会 [56] 劇場版,おいしい給食 [54] 利用できる日時等,詳細は下記リンク先にてご確認ください [54] 詳細は下記リンク先にてご確認ください,#山口市民会館 [54] ストリートピアノを設置しました,利用できる日時等 [52] #飯森範親,#神尾真由子 Top Word Pairs in Tweet in G7:
[4] #5g,#5gbuiltright [4] isocny,isocdc [4] #netneutrality,#fiber [4] #5gbuiltright,#netneutrality [4] nychange,verge [4] nyccouncil,nychange [4] #internet,nyccouncil [4] verge,civichall [4] #fiber,#verizon [4] civichall,nydailynews Top Word Pairs in Tweet in G8:
[19] dr,jamie [18] jamie,cohen [18] cohen,newanddigital [17] disinformation,election [16] digital,disinformation [15] election,year [15] 00,pm [13] newanddigital,civichall [11] civichall,helping [11] bkcharvard,datasociety Top Word Pairs in Tweet in G9:
[23] civichall,opengovhub [18] channelstv,segalink [13] 2019,dream [13] thank,funders [13] rounding,2019 [13] dream,make [13] greater,impacts [13] make,greater [13] ahead,thank [13] funders,partners Top Word Pairs in Tweet in G10:
[11] civility,harder [11] harder,think [9] think,harder [8] apaphilosophy,ndi [7] demsoc,carnegiedcg [7] niskanencenter,demsoc [6] harder,niskanencenter [6] carnegiedcg,_realdemocracy [5] 77,second [5] cc,iai_tv 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
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Top Tweeters in G9:
Top Tweeters in G10: