The graph represents a network of 214 Twitter users whose recent tweets contained "#realitycapture", 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 Friday, 27 November 2020 at 15:52 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 41-minute period from Wednesday, 18 November 2020 at 16:08 UTC to Friday, 27 November 2020 at 15:49 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 : 209
Unique Edges : 197
Edges With Duplicates : 189
Total Edges : 386
Number of Edge Types : 5
Tweet : 94
Retweet : 239
MentionsInRetweet : 28
Mentions : 24
Replies to : 1
Self-Loops : 100
Reciprocated Vertex Pair Ratio : 0,0147058823529412
Reciprocated Edge Ratio : 0,0289855072463768
Connected Components : 29
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 143
Maximum Edges in a Connected Component : 269
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2,740656
Graph Density : 0,00476168568273831
Modularity : 0,480565
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 214 Twitter users whose recent tweets contained "#realitycapture", 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 Friday, 27 November 2020 at 15:52 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 41-minute period from Wednesday, 18 November 2020 at 16:08 UTC to Friday, 27 November 2020 at 15:49 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 : #realitycapture
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:
[196] #photogrammetry,#realitycapture [34] #realitycapture,#b3d [30] #realitycapture,#photogrammetry [29] 大雄山最乗寺,御真殿と高下駄 [29] 御真殿と高下駄,南足柄市大雄山最乗寺の御真殿周辺をフォトグラメトリでcg動画化しました [29] 南足柄市大雄山最乗寺の御真殿周辺をフォトグラメトリでcg動画化しました,写真1000枚以下の広域フォトグラメトリとしてはとても良く再現できた [29] 写真1000枚以下の広域フォトグラメトリとしてはとても良く再現できた,レンダリングはblenderです [29] レンダリングはblenderです,#photogrammetry [28] 子供のころ住んでいた社宅の解体現場のフォトグラメトリ,#photogrammetry [22] #realitycapture,#laserscanning Top Word Pairs in Tweet in G1:
[117] #photogrammetry,#realitycapture [29] #realitycapture,#b3d [26] 大雄山最乗寺,御真殿と高下駄 [26] 御真殿と高下駄,南足柄市大雄山最乗寺の御真殿周辺をフォトグラメトリでcg動画化しました [26] 南足柄市大雄山最乗寺の御真殿周辺をフォトグラメトリでcg動画化しました,写真1000枚以下の広域フォトグラメトリとしてはとても良く再現できた [26] 写真1000枚以下の広域フォトグラメトリとしてはとても良く再現できた,レンダリングはblenderです [26] レンダリングはblenderです,#photogrammetry [17] 伊豆松崎町の石部棚田,石部 [17] 石部,いしぶ [17] いしぶ,棚田のフォトグラメトリのcg動画です Top Word Pairs in Tweet in G2:
[28] #photogrammetry,#realitycapture [27] 子供のころ住んでいた社宅の解体現場のフォトグラメトリ,#photogrammetry Top Word Pairs in Tweet in G3:
[21] #realitycapture,#laserscanning [12] leica,geosystems [10] reality,capture [10] laser,scanning [10] #laserscanning,#realitycapture [8] #laserscanning,#uav [8] #uav,#mobilemapping [8] geosystems,part [8] part,hexagon [7] #realitycapture,#leica Top Word Pairs in Tweet in G4:
[3] learn,#realitycapture [2] #photogrammetry,#realitycapture [2] built,drawings [2] video,show [2] show,set [2] set,leica [2] leica,rtc360 [2] rtc360,3d [2] 3d,laser [2] laser,scanner Top Word Pairs in Tweet in G5:
[19] #photogrammetry,#realitycapture [14] ryzen,5950x [14] 5950x,rtx [14] rtx,3080 [14] 3080,約5分 [14] core,i7 [14] i7,8086k [14] 8086k,gtx [14] gtx,1080 [14] 1080,ti Top Word Pairs in Tweet in G6:
[15] #photogrammetry,#3dscanning [10] #realitycapture,#photogrammetry [8] 3d,model [8] #photogrammetry,#realitycapture [6] focused,tools [6] tools,settings [6] settings,#realitycapture [6] #realitycapture,24 [6] 24,11 [6] 11,2020 Top Word Pairs in Tweet in G7:
[16] #realitycapture,#photogrammetry [13] #フォトグラメトリー,#realitycapture [13] #photogrammetry,#realitycapture [11] #3d,#vr [11] #vr,#ar [10] japan,fuji_3dcg [10] fuji_3dcg,#3d [10] #ar,co [6] #realitycapture,#3dscanning [5] 高林寺,菊手水 Top Word Pairs in Tweet in G8:
[4] precise,knowledge [4] knowledge,beneath [4] beneath,prevents [4] prevents,incidents [4] incidents,instance [4] instance,#highaccuracy [4] #highaccuracy,#realitycapture [4] #realitycapture,displayed [4] displayed,#augmentedreality [4] #augmentedreality,#ar Top Word Pairs in Tweet in G9:
[4] au2020,miss [4] miss,'build [4] 'build,smarter [4] smarter,#realitycapture [4] #realitycapture,strategy [4] strategy,leveraging [4] leveraging,#bim [4] #bim,gis' [4] gis',session [4] session,learn Top Replied-To in Entire Graph:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: