The graph represents a network of 9,701 Twitter users whose recent tweets contained "대구", 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 Saturday, 29 February 2020 at 21:06 UTC.
The tweets in the network were tweeted over the 3-hour, 15-minute period from Saturday, 29 February 2020 at 13:34 UTC to Saturday, 29 February 2020 at 16:49 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 : 9701
Unique Edges : 17017
Edges With Duplicates : 2710
Total Edges : 19727
Number of Edge Types : 5
Retweet : 15991
Replies to : 1181
Tweet : 1834
MentionsInRetweet : 511
Mentions : 210
Self-Loops : 1901
Reciprocated Vertex Pair Ratio : 0.00334328358208955
Reciprocated Edge Ratio : 0.00666428656432227
Connected Components : 828
Single-Vertex Connected Components : 434
Maximum Vertices in a Connected Component : 8098
Maximum Edges in a Connected Component : 18123
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.470598
Graph Density : 0.000178597806369202
Modularity : 0.530447
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 9,701 Twitter users whose recent tweets contained "%EB%8C%80%EA%B5%AC", 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 Saturday, 29 February 2020 at 21:06 UTC.
The tweets in the network were tweeted over the 3-hour, 15-minute period from Saturday, 29 February 2020 at 13:34 UTC to Saturday, 29 February 2020 at 16:49 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 : %EB%8C%80%EA%B5%AC
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:
[1084] 속보,대구 [960] 이런,정부 [956] 정부,또 [956] 또,없습니다 [956] 없습니다,우리 [956] 우리,생애 [956] 생애,또 [956] 또,한번 [956] 한번,만날수 [956] 만날수,있을까 Top Word Pairs in Tweet in G1:
[383] 다음,뉴스 [380] 대구,신천지 [371] 속보,대구 [360] 대구,경북 [324] 신천지에,의해 [235] 일반,시민 [233] 대구,신천지와 [233] 신천지와,달리 [233] 달리,일반 [233] 시민,확진율 Top Word Pairs in Tweet in G2:
[308] 권영진,대구시장 [243] 대구,확진 [243] 확진,신천지 [243] 신천지,교인들 [243] 교인들,숨기고 [243] 숨기고,감추고 [243] 감추고,거짓말하고 [243] 거짓말하고,신천지 [243] 신천지,대구교회도 [243] 대구교회도,신도 Top Word Pairs in Tweet in G3:
[499] 이런,정부 [499] 정부,또 [499] 또,없습니다 [499] 없습니다,우리 [499] 우리,생애 [499] 생애,또 [499] 또,한번 [499] 한번,만날수 [499] 만날수,있을까 [499] 있을까,싶습니다 Top Word Pairs in Tweet in G4:
[501] 속보,대구 [501] 대구,신천지와 [501] 신천지와,달리 [501] 달리,일반 [501] 일반,시민 [501] 시민,확진율 [501] 확진율,매우 [501] 매우,낮아 [501] 낮아,정말 [501] 정말,신천지는 Top Word Pairs in Tweet in G5:
[37] 상담,010 [17] 출장,샵 [16] 대구,신천지 [16] 대구,경북 [15] 010,7658 [15] 7658,0186 [14] 카톡,soso1556 [14] soso1556,라인 [14] 라인,vtm3 [14] vtm3,상담 Top Word Pairs in Tweet in G6:
[162] 육군,2작전사 [162] 2작전사,50사단 [162] 50사단,대구 [162] 대구,투입 [107] 일베,자금이 [107] 자금이,대구인데 [107] 대구인데,그게 [107] 그게,신천지였냐 [107] 신천지였냐,ㅋhttps [107] ㅋhttps,co Top Word Pairs in Tweet in G7:
[323] 의료진을,위해 [323] 위해,준비한 [323] 준비한,도시락 [322] 대구,칠성야시장분들이 [322] 칠성야시장분들이,의료진을 [16] 속보,대구 [13] 이런,정부 [13] 정부,또 [13] 또,없습니다 [13] 없습니다,우리 Top Word Pairs in Tweet in G8:
[110] 신천지,교인 [90] 자가격리,어기고 [90] 어기고,대구 [90] 대구,여수 [90] 여수,이동한 [90] 이동한,신천지 [90] 교인,여수서 [90] 여수서,코로나 [90] 코로나,확진 [90] 확진,진짜 Top Word Pairs in Tweet in G9:
[177] 개학,2주 [163] 신천지,아니구 [163] 아니구,대구통장 [163] 대구통장,입니다ㅠㅜ문 [163] 입니다ㅠㅜ문,좀 [163] 좀,열어주세요 [163] 열어주세요,울 [163] 울,아빠가 [163] 아빠가,대구통장이라 [163] 대구통장이라,오늘 Top Word Pairs in Tweet in G10:
[140] 대구에,우선 [139] 문정부가,대구에 [139] 대구에,공급한 [139] 공급한,마스크가 [139] 마스크가,중고판매에 [139] 중고판매에,대거 [139] 대거,올라와 [139] 올라와,있다 [139] 있다,마스크로 [139] 마스크로,미친듯이 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 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 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: