The graph represents a network of 4,345 Twitter users whose recent tweets contained "서울", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Wednesday, 04 November 2020 at 11:55 UTC.
The tweets in the network were tweeted over the 3-hour, 56-minute period from Wednesday, 04 November 2020 at 07:29 UTC to Wednesday, 04 November 2020 at 11:25 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.
Vertices : 4345
Unique Edges : 4109
Edges With Duplicates : 1394
Total Edges : 5503
Number of Edge Types : 5
Retweet : 2674
Tweet : 2195
Replies to : 453
MentionsInRetweet : 107
Mentions : 74
Self-Loops : 2215
Reciprocated Vertex Pair Ratio : 0.0130948578728841
Reciprocated Edge Ratio : 0.0258511979823455
Connected Components : 1502
Single-Vertex Connected Components : 977
Maximum Vertices in a Connected Component : 1593
Maximum Edges in a Connected Component : 1923
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.750623
Graph Density : 0.000168055829290881
Modularity : 0.6499
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,345 Twitter users whose recent tweets contained "서울", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Wednesday, 04 November 2020 at 11:55 UTC.
The tweets in the network were tweeted over the 3-hour, 56-minute period from Wednesday, 04 November 2020 at 07:29 UTC to Wednesday, 04 November 2020 at 11:25 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 : 서울
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[384] 서울,울산 [383] 특히,서울 [383] 울산,지역 [383] 지역,중심으로 [383] 중심으로,길냥이 [383] 길냥이,케어해주는 [383] 케어해주는,반려인분들 [383] 반려인분들,조심하셔야 [383] 조심하셔야,될 [383] 될,같아요 Top Word Pairs in Tweet in G1:
[141] 출장마사지,출장샵 [141] 출장샵,조건만남 [131] 출장만남,출장마사지 [128] 조건만남,야동 [128] 야동,코로나 [128] 코로나,19 [103] 조건,조건만남 [94] 서울,경기 [92] 조건만남,용돈만남오프 [92] 용돈만남오프,서울오프 Top Word Pairs in Tweet in G2:
[286] 김정숙,여사는 [266] 점자의,날을 [246] 세상,사람들이 [246] 사람들이,눈으로 [246] 눈으로,길을 [246] 길을,볼 [246] 볼,나는 [246] 나는,마음으로 [246] 마음으로,세계를 [246] 세계를,본다 Top Word Pairs in Tweet in G3:
[365] 특히,서울 [365] 서울,울산 [365] 울산,지역 [365] 지역,중심으로 [365] 중심으로,길냥이 [365] 길냥이,케어해주는 [365] 케어해주는,반려인분들 [365] 반려인분들,조심하셔야 [365] 조심하셔야,될 [365] 될,같아요 Top Word Pairs in Tweet in G4:
[46] 윤석열,일가의 [46] 일가의,의혹이 [46] 의혹이,장모와 [46] 장모와,아내에 [46] 아내에,이어 [46] 이어,사위까지 [46] 사위까지,범죄 [46] 범죄,의혹에 [46] 의혹에,휩싸였다 [46] 휩싸였다,서울지검은 Top Word Pairs in Tweet in G5:
[122] farewell,miro [122] miro,서울 [122] 서울,다이너스티의 [122] 다이너스티의,창단부터 [122] 창단부터,젠지의 [122] 젠지의,스트리머까지 [122] 스트리머까지,날을 [122] 날을,함께한 [122] 함께한,'미로' [122] '미로',공진혁이 Top Word Pairs in Tweet in G6:
[120] 서울,광진구가 [120] 광진구가,내년에 [120] 내년에,'반려인 [120] '반려인,사전교육 [120] 사전교육,이수'를 [120] 이수'를,자치구 [120] 자치구,차원의 [120] 차원의,시범사업으로 [120] 시범사업으로,실시한다 [120] 실시한다,시범사업 Top Word Pairs in Tweet in G7:
[79] 이거,절에 [79] 절에,오랫동안 [79] 오랫동안,관계되어 [79] 관계되어,온 [79] 온,사람들이라면 [79] 사람들이라면,알겠지만 [79] 알겠지만,진짜 [79] 진짜,장난 [79] 장난,아님 [79] 아님,이새끼들 Top Word Pairs in Tweet in G8:
[33] 박,전 [33] 전,시장의 [33] 시장의,재임기간 [33] 재임기간,8년 [33] 8년,9개월 [33] 9개월,중 [33] 중,5년 [33] 5년,서울시가 [33] 서울시가,차례에 [33] 차례에,걸쳐 Top Word Pairs in Tweet in G9:
[50] 호캉스,갈 [50] 갈,분들을 [50] 분들을,위한 [50] 위한,제가 [50] 제가,느낀 [50] 느낀,호텔팁을 [50] 호텔팁을,전달해드립니다 [50] 전달해드립니다,큰 [50] 큰,호텔 [50] 호텔,롯데 Top Word Pairs in Tweet in G10:
[16] 메릴린,스트릭랜드는 [16] 스트릭랜드는,타코마 [16] 타코마,시장 [16] 시장,출신으로 [16] 출신으로,압도적인 [16] 압도적인,지지를 [16] 지지를,받아 [16] 받아,당선을 [16] 당선을,확실시했다 [16] 확실시했다,서울 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 G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G5:
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: