The graph represents a network of 3,861 Twitter users whose recent tweets contained "siggraph", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 11:42 UTC.
The tweets in the network were tweeted over the 4194-day, 9-hour, 49-minute period from Friday, 12 August 2011 at 11:28 UTC to Saturday, 04 February 2023 at 21:17 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3861
Unique Edges : 2674
Edges With Duplicates : 9514
Total Edges : 12188
Number of Edge Types : 9
Retweet : 2971
MentionsInRetweet : 4148
Tweet : 1247
MentionsInReplyTo : 1579
Replies to : 810
Mentions : 1081
Quote : 151
MentionsInQuote : 158
MentionsInQuoteReply : 43
Self-Loops : 1775
Reciprocated Vertex Pair Ratio : 0.0507315219456584
Reciprocated Edge Ratio : 0.0965641952983725
Connected Components : 532
Single-Vertex Connected Components : 292
Maximum Vertices in a Connected Component : 2744
Maximum Edges in a Connected Component : 10118
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.463369
Graph Density : 0.000371054775199853
Modularity : 0.404906
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,861 Twitter users whose recent tweets contained "siggraph", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 11:42 UTC.
The tweets in the network were tweeted over the 4194-day, 9-hour, 49-minute period from Friday, 12 August 2011 at 11:28 UTC to Saturday, 04 February 2023 at 21:17 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : siggraph
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:
[756] siggraph,asia [404] asia,2022 [398] 手法,既存手法に比べて特に結果がメチャいい [398] 近いうちにゲームのリアルタイムドット絵化もありえるんじゃないでしょうか,動画必見 [398] らしいので,近いうちにゲームのリアルタイムドット絵化もありえるんじゃないでしょうか [398] pixelization,手法 [398] 動画必見,図は論文から [398] ドット絵化,pixelization [398] 既存手法に比べて特に結果がメチャいい,720p [398] 図は論文から,siggraph Top Word Pairs in Tweet in G1:
[144] siggraph,asia [132] distance,field [131] uses,time [131] time,write [131] took,time [131] wrote,unfortunately [131] builder,wrote [131] field,builder [131] unfortunately,never [131] never,took Top Word Pairs in Tweet in G2:
[44] technical,papers [43] 27th,international [41] siggraph,asia [39] telecomsudparis,#web3d2022 [35] asia,2022 [34] international,conference [32] siggraph,2022 [32] acm,siggraph [31] web3d,2022 [31] #siggraph2023,technical Top Word Pairs in Tweet in G3:
[392] 3sec,らしいので [392] の変換に,3sec [392] 手法,既存手法に比べて特に結果がメチャいい [392] 720p,の変換に [392] 既存手法に比べて特に結果がメチャいい,720p [392] らしいので,近いうちにゲームのリアルタイムドット絵化もありえるんじゃないでしょうか [392] ドット絵化,pixelization [392] 動画必見,図は論文から [392] 図は論文から,siggraph [392] pixelization,手法 Top Word Pairs in Tweet in G4:
[117] siggraph,asia [63] asia,2022 [36] vfx,supervisor [34] viral,thakkar [34] jaykar,arudra [33] arudra,vfx [27] studios,small [27] blender,foundation [27] foundation,organizing [27] big,explore Top Word Pairs in Tweet in G5:
[174] siggraph,asia [86] asia,2022 [41] 2022,daegu [27] 8k解像度で再現された,葛飾北斎の浮世絵が動くunity製デモに驚愕 [27] asia,8k解像度で再現された [25] blacksmith,などを展示 [25] unity,siggraph [25] 2015でデモ,blacksmith [25] siggraph,2022 [25] asia,2015でデモ Top Word Pairs in Tweet in G6:
[56] siggraph,asia [34] asia,2022 [31] 50g程度の力と振動を提示できます,ぜひ体験しに来てください [31] 完全プラスチック製で配線なども無しに,40 [31] 韓国にて空中超音波で駆動する電子部品レスな触覚デバイスをデモ発表しています,完全プラスチック製で配線なども無しに [31] 40,50g程度の力と振動を提示できます [31] tech,韓国にて空中超音波で駆動する電子部品レスな触覚デバイスをデモ発表しています [31] asia,tech [30] morisakitao,siggraph [22] 2022,emerging Top Word Pairs in Tweet in G7:
[37] siggraph,2015 [30] bjørge,unity [30] marius,bjørge [30] implemented,dual [30] find,repository [30] described,siggraph [30] dual,kawase [30] unity,urp [30] kawase,blur [30] blur,described Top Word Pairs in Tweet in G8:
[42] siggraph,asia [30] asia,2022 [19] garment,animation [19] based,garment [19] work,deep [19] neural,cloth [19] 2022,work [19] deep,based [19] animation,neural [19] present,siggraph Top Word Pairs in Tweet in G9:
[14] siggraph,asia [13] asia,2022 [8] animation,demo [8] chance,super [8] siggraph,time [8] time,live [8] live,another [8] character,posing [8] another,chance [8] see,character Top Word Pairs in Tweet in G10:
[20] meta,google [20] google,twitter [13] iccvconference,siggraph [13] ieee_ras_icra,cvpr [13] cvpr,iccvconference [12] twitter,ieee_ras_icra [10] research,output [8] layoffs,meta [8] wonder,layoffs [8] output,those Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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 G4:
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: