The graph represents a network of 3,802 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 2/1/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 00:11 UTC.
The tweets in the network were tweeted over the 2892-day, 13-hour, 54-minute period from Monday, 02 March 2015 at 21:14 UTC to Wednesday, 01 February 2023 at 11:08 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 : 3802
Unique Edges : 4354
Edges With Duplicates : 10915
Total Edges : 15269
Number of Edge Types : 9
Retweet : 2956
MentionsInRetweet : 4983
Quote : 146
Tweet : 1115
MentionsInQuote : 335
Mentions : 2180
MentionsInReplyTo : 2816
Replies to : 660
MentionsInQuoteReply : 78
Self-Loops : 1995
Reciprocated Vertex Pair Ratio : 0.0700490496627836
Reciprocated Edge Ratio : 0.130926801317863
Connected Components : 331
Single-Vertex Connected Components : 195
Maximum Vertices in a Connected Component : 2425
Maximum Edges in a Connected Component : 10522
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.501133
Graph Density : 0.000483067317620809
Modularity : 0.372369
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,802 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 2/1/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 00:11 UTC.
The tweets in the network were tweeted over the 2892-day, 13-hour, 54-minute period from Monday, 02 March 2015 at 21:14 UTC to Wednesday, 01 February 2023 at 11:08 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:
[350] arida_civichall,lt [218] #山口市民会館,大ホール [210] 日,16 [210] 00開演,#山口市民会館 [210] 11,日 [210] 16,00開演 [147] 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 [147] 先祖のお墓参りをしてきました,やっと来れた山口 [147] 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 [147] 感謝を作品で伝える所存です,11 Top Word Pairs in Tweet in G1:
[71] civichall,honda [68] #civictech,world [68] #firstpost,digest [68] digest,news [66] news,analysis [62] analysis,#civictech [53] civic,hall [51] much,more [47] edition,#firstpost [47] more,latest Top Word Pairs in Tweet in G2:
[48] engagement,platforms [43] next,generation [40] civic,tech [40] generation,engagement [38] mlsif,mstem [34] mlsif,civichall [34] public,interest [31] mstem,civichall [23] mstem,civicist [21] platforms,useful Top Word Pairs in Tweet in G3:
[350] 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 [74] 入場無料,要整理券 [74] 13,30 [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] time,next [5] tech,keeps [5] mutual,aid [5] ご利用方法について,福岡市民会館 [5] keeps,failing Top Word Pairs in Tweet in G5:
[209] 16,00開演 [209] 00開演,#山口市民会館 [209] #山口市民会館,大ホール [209] 日,16 [202] 11,日 [147] 先祖代々,松岡家は山口の出身です [147] 感謝を作品で伝える所存です,11 [147] 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 [147] 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 [147] 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 [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] #山口市民会館,#ストリートピアノ [52] #飯森範親,#神尾真由子 [52] #日本センチュリー交響楽団,#飯森範親 [52] #神尾真由子,#アートキャラバン [52] #新世界,#日本センチュリー交響楽団 [51] #山口市民会館,#オーケストラ Top Word Pairs in Tweet in G7:
[4] civichall,nydailynews [4] #fiber,#verizon [4] verge,civichall [4] #verizon,#att [4] #netneutrality,#fiber [4] #internet,nyccouncil [4] nychange,verge [4] isocny,isocdc [4] #5gbuiltright,#netneutrality [4] #5g,#5gbuiltright 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] commitments,democratic [5] democratic,republic Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: