The graph represents a network of 3,314 Twitter users whose recent tweets contained "#ApoFLyToTaipei", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 8,000 tweets. The network was obtained from Twitter on Saturday, 14 January 2023 at 10:25 UTC.
The tweets in the network were tweeted over the 1-day, 5-hour, 26-minute period from Friday, 13 January 2023 at 04:41 UTC to Saturday, 14 January 2023 at 10:08 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 Fruchterman-Reingold layout algorithm.
Author Description
Vertices : 3314
Unique Edges : 8558
Edges With Duplicates : 7355
Total Edges : 15913
Number of Edge Types : 5
Replies to : 70
Retweet : 7610
MentionsInRetweet : 7291
Mentions : 702
Tweet : 240
Self-Loops : 253
Reciprocated Vertex Pair Ratio : 0.000189717321191425
Reciprocated Edge Ratio : 0.000379362670713202
Connected Components : 54
Single-Vertex Connected Components : 39
Maximum Vertices in a Connected Component : 3146
Maximum Edges in a Connected Component : 15483
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.283636
Graph Density : 0.000960354238100451
Modularity : 0.288734
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=287964
Data Import : The graph represents a network of 3,314 Twitter users whose recent tweets contained "#ApoFLyToTaipei", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 8,000 tweets. The network was obtained from Twitter on Saturday, 14 January 2023 at 10:25 UTC.
The tweets in the network were tweeted over the 1-day, 5-hour, 26-minute period from Friday, 13 January 2023 at 04:41 UTC to Saturday, 14 January 2023 at 10:08 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 Fruchterman-Reingold layout algorithm.
Graph Source : TwitterSearch
Graph Term : #ApoFLyToTaipei
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Language
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2759] #nnattawin,#apoflytotaipei [2418] #apoflytotaipei,#nnattawin [2300] nnattawin1,#nnattawin [1796] #nnattawin,nnattawin1 [1251] taipei,101 [1204] ฐว,ญญ [1083] dior,taipei [1055] #apoflytotaipei,nnattawin1 [1040] 101,flagship [1038] flagship,store Top Word Pairs in Tweet in G1:
[891] #apoflytotaipei,#nnattawin [661] #nnattawin,nnattawin1 [564] nnattawin1,#nnattawin [382] #nnattawin,#apocolleagues [365] #apoflytotaipei,nnattawin1 [319] #nnattawin,#apoflytotaipei [291] nnattawin1,#dior [238] 패션,남자 [238] 아포,#apoflytotaipei [238] 도착,패션 Top Word Pairs in Tweet in G2:
[1110] #nnattawin,#apoflytotaipei [1000] ฐว,ญญ [877] taipei,101 [847] ณ,ฐว [836] ในว,นท [836] นท,13 [836] 101,flagship [836] flagship,store [731] dior,taipei [699] 13,มกราคมน Top Word Pairs in Tweet in G3:
[967] #nnattawin,#apoflytotaipei [953] nnattawin1,#nnattawin [467] #apoflytotaipei,#nnattawin [361] #nnattawin,nnattawin1 [291] #apoflytotaipei,nnattawin1 [244] wendychaochao1,nnattawin1 [230] photo,wendychaochao1 [181] taipei,101 [180] #nnattawin,#apocolleagues [169] dior,taipei Top Word Pairs in Tweet in G4:
[468] จ,ดไน [298] #apoflytotaipei,#nnattawin [285] #nnattawin,nnattawin1 [252] #โปโปฉองขวบ,taipei [252] nnattawin1,#โปโปฉองขวบ [234] ง,บต [234] ม,ง [234] แหละ,โพสใหม [234] taipei,จ [234] ตอนบ,ายโมง Top Word Pairs in Tweet in G5:
[162] #nnattawin,#apoflytotaipei [129] #howemagazine,#howesociety [129] ณอาโป,#howe [129] อเก,นคะค [129] ม,#dior [129] ทำไมหล,อเหล [129] #howe,#howemagazine [129] คหน,ม [129] #howesociety,#diorxapo [129] #dior,ทำไมหล Top Word Pairs in Tweet in G6:
[115] #gentlemonsterxbambam,#pradaxwininmilan [115] #pradaxwininmilan,#becasedomex [115] #nationalyouthday,#舞いあがれ [115] #iheartawards,#bestmusicvideo [115] #apoflytotaipei,#bbb23 [115] #bestmusicvideo,#apoflytotaipei [115] #bubekletmeneden,#missuniverse [115] #missuniverse,#nationalyouthday [115] #bbb23,#gentlemonsterxbambam [115] klarna,ideal Top Word Pairs in Tweet in G7:
[55] #apoflytotaipei,#nnattawin [41] nnattawin1,#nnattawin [34] #nnattawin,#apoflytotaipei [31] #nnattawin,nnattawin1 [30] #apoflytotaipei,nnattawin1 [28] #nnattawin,#apocolleagues [19] taipei,101 [17] #dior,nnattawin1 [17] dior,taipei [17] ขอบค,ณ Top Word Pairs in Tweet in G8:
[11] เห,ย [11] #ซาแซงอ,เห [10] งพ,ท [10] #หายไปไหนท,งพ [10] ท,งน [10] งน,อง [9] โค,ดสอบต [9] วคร,บ [9] #น,าเพชรดาราสาว [9] ดสอบต,ดแล Top Word Pairs in Tweet in G9:
[113] #nationalyouthday,#apoflytotaipei [111] #punjabassembly,#nationalyouthday [108] #apoflytotaipei,#irgcterrorists [90] #kp360updates,#punjabassembly [38] کنٹرول,اینڈ [38] جنرل,ڈرگ [38] اینڈ,فارمیسی [38] خیبر,پختونخوا [38] سروسز,خیبر [38] کارکردگی,رپورٹ Top Word Pairs in Tweet in G10:
[20] #apoflytotaipei,nnattawin1 [20] #nnattawin,nnattawin1 [19] nnattawin1,#nnattawin [16] nnattawin1,#apoflytotaipei [12] #apoflytotaipei,#nnattawin [8] nattawintrend,nnattawin1 [7] dior,taipei [7] taipei,101 [6] #nnattawin,#apoflytotaipei [5] store,reopening 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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G7:
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: