The graph represents a network of 3,796 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 11:42 UTC.
The tweets in the network were tweeted over the 2615-day, 15-hour, 55-minute period from Tuesday, 05 January 2016 at 08:24 UTC to Sunday, 05 March 2023 at 00:20 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 : 3796
Unique Edges : 2648
Edges With Duplicates : 9428
Total Edges : 12076
Number of Edge Types : 9
Retweet : 2880
MentionsInRetweet : 3823
Tweet : 1251
MentionsInReplyTo : 1797
Replies to : 877
Mentions : 1066
MentionsInQuote : 195
Quote : 145
MentionsInQuoteReply : 42
Self-Loops : 1779
Reciprocated Vertex Pair Ratio : 0.0521722265321955
Reciprocated Edge Ratio : 0.0991705069124424
Connected Components : 541
Single-Vertex Connected Components : 287
Maximum Vertices in a Connected Component : 2696
Maximum Edges in a Connected Component : 10079
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.378228
Graph Density : 0.000376583908448113
Modularity : 0.399664
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,796 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 11:42 UTC.
The tweets in the network were tweeted over the 2615-day, 15-hour, 55-minute period from Tuesday, 05 January 2016 at 08:24 UTC to Sunday, 05 March 2023 at 00:20 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:
[765] siggraph,asia [396] 手法,既存手法に比べて特に結果がメチャいい [396] 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 [396] 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 [396] pixelization,手法 [396] 動画必見,図は論文から [396] ドット絵化,pixelization [396] 既存手法に比べて特に結果がメチャいい,720p [396] 図は論文から,siggraph [396] の変換に,3sec Top Word Pairs in Tweet in G1:
[67] acm,siggraph [45] technical,papers [44] siggraph,ilmvfx [35] vfx,supervisor [33] jaykar,arudra [33] viral,thakkar [33] #siggraph2023,technical [32] arudra,vfx [32] shirenjoyr,siggraph [26] 50,years Top Word Pairs in Tweet in G2:
[387] 手法,既存手法に比べて特に結果がメチャいい [387] 720p,の変換に [387] 図は論文から,siggraph [387] の変換に,3sec [387] ドット絵化,pixelization [387] 3sec,らしいので [387] 既存手法に比べて特に結果がメチャいい,720p [387] pixelization,手法 [387] 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 [387] 動画必見,図は論文から Top Word Pairs in Tweet in G3:
[124] siggraph,asia [80] technical,papers [67] siggraph,2022 [59] siggraph'23,technical [52] proud,share [52] share,_alecjacobson [52] stochastic,poisson [52] surface,reconstruction [52] paper,stochastic [52] reconstruction,look Top Word Pairs in Tweet in G4:
[118] siggraph,asia [71] asia,2022 [27] small,big [27] big,explore [27] studios,small [27] foundation,organizing [27] blender,foundation [25] siggraphasia,connect [25] community,meeting [25] organizing,community Top Word Pairs in Tweet in G5:
[190] siggraph,asia [99] asia,2022 [41] 2022,daegu [29] asia,8k解像度で再現された [29] 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] blacksmith,などを展示 [27] unity,siggraph [27] asia,2015でデモ [27] 2015でデモ,blacksmith [26] siggraph,2022 Top Word Pairs in Tweet in G6:
[43] 27th,international [37] telecomsudparis,#web3d2022 [34] international,conference [31] building,open [26] siggraph,asia [24] next,week [24] web3d,2022 [21] #metaverse,#vr [20] mpetit,ch_mouton [19] web3dconsortium,siggraph Top Word Pairs in Tweet in G7:
[20] google,twitter [20] meta,google [13] cvpr,iccvconference [13] iccvconference,siggraph [13] ieee_ras_icra,cvpr [12] twitter,ieee_ras_icra [10] research,output [9] whole,lot [9] parent,company [9] multiplying,matrices Top Word Pairs in Tweet in G8:
[45] siggraph,asia [29] asia,2022 [28] siggraph,2022 [21] physics,based [20] 2022,deepphase [19] research,learning [19] reproduce,siggraph [19] deep,based [19] nice,video [19] based,garment Top Word Pairs in Tweet in G9:
[34] asia,2022 [21] 2022,emerging [21] 装着者の触覚体験を観察者が理解可能なウェアラブルハプティックディスプレイの発表を行います,皮膚の変形を観察可能にすると共に [21] emerging,technologiesにて [21] 今週開催されるsiggraph,asia [21] technologiesにて,装着者の触覚体験を観察者が理解可能なウェアラブルハプティックディスプレイの発表を行います [20] 2020年のsiggraphで発表したtorsioncrowdsのエッセンスを引き継ぎつつ,社会実装に適したシステムの設計をfuroと検討し [20] 皮膚のせん断刺激を分布提示する着座型触覚提示システムを製作しました,2020年のsiggraphで発表したtorsioncrowdsのエッセンスを引き継ぎつつ [20] 皮膚の変形を観察可能にすると共に,提示状態を強調する [20] 千葉工大furoと共同で,皮膚のせん断刺激を分布提示する着座型触覚提示システムを製作しました Top Word Pairs in Tweet in G10:
[52] siggraph,asia [30] 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 [30] 完全プラスチック製で配線なども無しに,40 [30] 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 [30] 40,50g程度の力と振動を提示できます [30] 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 [30] asia,tech [29] morisakitao,siggraph [12] acm,siggraph [11] テクニカルペーパーjournal,に論文が採択されました Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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 G3:
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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: