The graph represents a network of 11,322 Twitter users whose recent tweets contained "Kyoto", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 26 October 2021 at 04:29 UTC.
The tweets in the network were tweeted over the 1-day, 1-hour, 28-minute period from Monday, 25 October 2021 at 00:44 UTC to Tuesday, 26 October 2021 at 02:13 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 : 11362
Unique Edges : 12148
Edges With Duplicates : 13818
Total Edges : 25966
Number of Edge Types : 5
Replies to : 3599
Mentions : 1980
Tweet : 10408
Retweet : 8801
MentionsInRetweet : 1178
Self-Loops : 10525
Reciprocated Vertex Pair Ratio : 0.0626559201688735
Reciprocated Edge Ratio : 0.117923250564334
Connected Components : 2573
Single-Vertex Connected Components : 1447
Maximum Vertices in a Connected Component : 3700
Maximum Edges in a Connected Component : 9773
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.223439
Graph Density : 8.57970568270589E-05
Modularity : 0.469304
NodeXL Version : 1.0.1.447
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=264778
Data Import : The graph represents a network of 11,322 Twitter users whose recent tweets contained "Kyoto", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 26 October 2021 at 04:29 UTC.
The tweets in the network were tweeted over the 1-day, 1-hour, 28-minute period from Monday, 25 October 2021 at 00:44 UTC to Tuesday, 26 October 2021 at 02:13 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 : TwitterSearch
Graph Term : Kyoto
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:
[517] #京都,#kyoto [492] arashi,anniversary [492] anniversary,tour [492] tour,20 [492] 20,film [492] film,#recordofmemories [492] #recordofmemories,11 [478] 美術館,えき [464] 展覧会,能面100 [407] 神,男 Top Word Pairs in Tweet in G1:
[46] #kyoto,#japan [37] kyoto,japan [33] #京都,#kyoto [33] jr,京都線 [31] 10,25 [26] chinese,drama [26] city,kyoto [25] 2021,10 [24] #デリヘル,#人妻 [24] #人妻,#京都 Top Word Pairs in Tweet in G2:
[281] 順調に育つ海遊館のアザラシ,京都新聞 [75] 京都新聞,#linenews [73] 京都市ではこれまで数多くの映画やドラマが撮影されています,この度 [73] この度,2021年度に公開された映画作品ロケ地を紹介したページができました [73] 2021年度に公開された映画作品ロケ地を紹介したページができました,作品とあわせ [73] 作品とあわせ,ロケ地巡りはいかがですか [73] ロケ地巡りはいかがですか,co [73] co,mky26hjcej [73] mky26hjcej,#るろうに剣心最終章thefinal [73] #るろうに剣心最終章thefinal,#太陽の子 Top Word Pairs in Tweet in G3:
[492] arashi,anniversary [492] anniversary,tour [492] tour,20 [492] 20,film [492] film,#recordofmemories [492] #recordofmemories,11 [360] まもなく販売開始,arashi [360] 11,水 [360] 水,祝 [360] 祝,11 Top Word Pairs in Tweet in G4:
[312] 展覧会,能面100 [312] 能面100,美術館 [312] 美術館,えき [312] えき,kyotoで [312] kyotoで,能面100面を [312] 能面100面を,神 [312] 神,男 [312] 男,女 [312] 女,狂 [312] 狂,鬼 Top Word Pairs in Tweet in G5:
[214] #おかしなおかしなハロウィーン,#プリン [214] #プリン,#京八坂プリン [214] #京八坂プリン,#京都 [213] #キャンペーン実施中,#おかしなおかしなハロウィーン [213] #京都,#お取り寄せグルメ [212] #kyoto,#フォローrtキャンペーン [212] #フォローrtキャンペーン,#懸賞 [212] #懸賞,#キャンペーン [212] #キャンペーン,#キャンペーン実施中 [209] プリンが当たる,ハロウィンキャンペーン Top Word Pairs in Tweet in G6:
[20] #軍事費2倍でなく暮らしに予算を,#政権交代で誰もが大切にされる社会に [18] 実感染者倍数3,感染日数20日を採用すると推定総感染者数は [16] 2021,10 [15] s_hironobu,pinkpanthre [11] 10月25日,月 [9] 毎日更新,ありません [9] trinitynyc,s_hironobu [8] #比例は日本共産党,#京都1区はこくた恵二 [8] 温暖化したおかげで北海道のコメはうまくなった,自民 [8] 自民,麻生氏 Top Word Pairs in Tweet in G7:
[116] australia,climate [112] climate,part [82] podcast,series [78] investigative,podcast [76] part,kyoto [59] series,australia [50] international,climate [42] day,week [42] part,investigative [41] increase,emissions Top Word Pairs in Tweet in G8:
[48] 尖閣諸島,沖縄県石垣市 [12] 重要,中国 [11] 沖縄,尖閣沖 [10] 台湾南西の防空識別圏,adiz [9] 中国海警局の,海警 [9] 警戒,中国 [9] レオナルド,ダ [9] ダ,ヴィンチの弟子 [8] 先週,京都市内で新たに感染が確認された方は26人 [8] 京都市内で新たに感染が確認された方は26人,前週比 Top Word Pairs in Tweet in G9:
[226] india,digital [226] digital,india [226] india,smart [226] smart,cities [226] cities,women [226] women,safety [226] safety,start [226] start,india [226] india,skill [226] skill,india Top Word Pairs in Tweet in G10:
[196] lovely,death [196] death,go [196] go,kyoto [196] kyoto,dayo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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 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: