The graph represents a network of 12,318 Twitter users whose recent tweets contained "Daegu", 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 Monday, 04 October 2021 at 03:02 UTC.
The tweets in the network were tweeted over the 7-day, 11-hour, 27-minute period from Sunday, 26 September 2021 at 14:50 UTC to Monday, 04 October 2021 at 02:17 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 : 12509
Unique Edges : 14960
Edges With Duplicates : 21475
Total Edges : 36435
Number of Edge Types : 5
Mentions : 3255
Tweet : 15414
Replies to : 3365
Retweet : 12404
MentionsInRetweet : 1997
Self-Loops : 15528
Reciprocated Vertex Pair Ratio : 0.0319880842612951
Reciprocated Edge Ratio : 0.0619931271477663
Connected Components : 1416
Single-Vertex Connected Components : 1002
Maximum Vertices in a Connected Component : 7725
Maximum Edges in a Connected Component : 20938
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.046013
Graph Density : 9.29934860076313E-05
Modularity : 0.406648
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,318 Twitter users whose recent tweets contained "Daegu", 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 Monday, 04 October 2021 at 03:02 UTC.
The tweets in the network were tweeted over the 7-day, 11-hour, 27-minute period from Sunday, 26 September 2021 at 14:50 UTC to Monday, 04 October 2021 at 02:17 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 : Daegu
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:
[1815] town,daegu [1814] 't,d' [1810] suga,backwards [1806] realize,'agust [1806] 'agust,d' [1806] d',suga [1806] backwards,'t [1806] d',means [1806] means,town [1231] led,daegu Top Word Pairs in Tweet in G1:
[1785] 't,d' [1779] town,daegu [1778] suga,backwards [1777] realize,'agust [1777] 'agust,d' [1777] d',suga [1777] backwards,'t [1777] d',means [1777] means,town [15] daegu,town Top Word Pairs in Tweet in G2:
[224] #gulfkanawut,gulfkanawut [206] protect,vietnamese [206] vietnamese,history [189] วกล,ฟ [166] #bts,#방탄소년단 [164] daegu_gwangju,bts_twt [143] งหวานใจม,วกล [139] #candyหวานจ,งหวานใจม [135] music,awards [119] fact,music Top Word Pairs in Tweet in G3:
[702] south,korea [682] movement,led [681] led,daegu [681] daegu,sayadaw [680] dictatorship,movement [679] anti,dictatorship [677] korea,today [677] today,#whatshappeninginmyanmar [363] #whatshappeninginmyanmar,#oct3coup [356] photos,anti Top Word Pairs in Tweet in G4:
[594] daegu,accent [593] busan,accent [579] jun,k's [579] k's,daegu [579] accent,vs [579] vs,dowoon's [579] dowoon's,busan [60] short,convo [60] convo,between [60] between,dowoon Top Word Pairs in Tweet in G5:
[659] uhm,dialect [659] dialect,daegu [659] daegu,desu [6] hacer,música [5] realize,'agust [5] 'agust,d' [5] d',suga [5] suga,backwards [5] backwards,'t [5] 't,d' Top Word Pairs in Tweet in G6:
[607] military,coup [604] activists,staged [600] support,nugmyanmar [600] daegu's,monk [599] #osan,city [599] city,#southkorea [599] #oct3coup,#whatshappeninginmyanmar [597] coup,#myanmar [504] democratic,activists [504] staged,regular Top Word Pairs in Tweet in G7:
[545] general,strike [544] southern,korea [543] oct,1946 [543] 1946,police [543] swept,southern [523] police,killed [523] killed,striker [506] 300,000 [506] military,govt [506] autumn,uprising Top Word Pairs in Tweet in G8:
[462] way,taehyung [462] taehyung,mixing [462] mixing,japanese [462] japanese,along [462] along,korean [462] korean,daegu [462] daegu,bts [462] bts,#taehyung [462] #taehyung,#jungkook [462] #jungkook,#jin Top Word Pairs in Tweet in G9:
[41] #bts,bts_twt [40] daegu,boys [28] #윤기,#suga [23] gt,gt [22] #suga,#bts [22] #joontriever,#rm [21] min,yoongi [18] #bts,#방탄소년단 [14] see,sole [14] sole,conclusion Top Word Pairs in Tweet in G10:
[308] seoul,daegu [308] daegu,tokyo [308] tokyo,osaka [308] osaka,#우리는서로의스포트라이트 [308] #우리는서로의스포트라이트,#프로아이돌리노생축 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 G8:
Top Replied-To in G9:
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 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: