The graph represents a network of 1,543 Twitter users whose tweets in the requested range contained "recsys OR recsys21 OR recsys2021", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 October 2021 at 04:15 UTC.
The requested start date was Sunday, 10 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 5-hour, 4-minute period from Sunday, 26 September 2021 at 01:12 UTC to Saturday, 09 October 2021 at 06:16 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 : 1543
Unique Edges : 1238
Edges With Duplicates : 4945
Total Edges : 6183
Number of Edge Types : 5
Replies to : 141
Mentions : 970
Retweet : 1842
MentionsInRetweet : 2637
Tweet : 593
Self-Loops : 619
Reciprocated Vertex Pair Ratio : 0.0913570887035633
Reciprocated Edge Ratio : 0.167419242792636
Connected Components : 136
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 883
Maximum Edges in a Connected Component : 5013
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.652526
Graph Density : 0.00121001670234934
Modularity : 0.356254
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,543 Twitter users whose tweets in the requested range contained "recsys OR recsys21 OR recsys2021", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 October 2021 at 04:15 UTC.
The requested start date was Sunday, 10 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 5-hour, 4-minute period from Sunday, 26 September 2021 at 01:12 UTC to Saturday, 09 October 2021 at 06:16 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 : GraphServerTwitterSearch
Graph Term : recsys OR recsys21 OR recsys2021
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:
[317] ãƒ,ム[235] covid,19 [228] government,mandated [228] mandated,lockdowns [228] lockdowns,reduce [228] reduce,covid [228] 19,deaths [228] deaths,implications [228] implications,evaluating [228] evaluating,stringent Top Word Pairs in Tweet in G1:
[95] #recsys2021,acmrecsys [64] recommender,systems [53] acmrecsys,#recsys2021 [37] looking,forward [27] best,paper [23] keynote,#recsys2021 [21] recsys,challenge [21] recsys,hr [20] day,#recsys2021 [20] 00,cest Top Word Pairs in Tweet in G2:
[228] government,mandated [228] mandated,lockdowns [228] lockdowns,reduce [228] reduce,covid [228] covid,19 [228] 19,deaths [228] deaths,implications [228] implications,evaluating [228] evaluating,stringent [228] stringent,zealand Top Word Pairs in Tweet in G3:
[54] session,based [48] recommender,systems [42] merlin,team [33] open,source [30] nvidiaai,merlin [29] work,nvidiaai [27] incredibly,excited [27] excited,proud [27] proud,share [27] share,work Top Word Pairs in Tweet in G4:
[147] intellectual,humility [147] humility,negatively [147] negatively,correlated [147] correlated,anti [147] anti,vaccination [147] vaccination,attitudes [146] jonathanstea,intellectual Top Word Pairs in Tweet in G5:
[83] hiring,phd [83] phd,research [83] research,interns [83] interns,summer [83] summer,2022 [83] 2022,css [83] css,ml [83] ml,ai [83] ai,nlp [83] nlp,recsys Top Word Pairs in Tweet in G6:
[281] ãƒ,ム[93] recsys,2021 [68] wantedly,recsys [55] æ,èª [41] åš,ム[38] æž,ム[34] ç,ºè [32] ç,ç [30] èª,šã [29] 2021,参加レポート Top Word Pairs in Tweet in G7:
[28] ãƒ,ム[28] æ,èª [16] recsys,2021 [16] ªãƒ,ム[14] recsys2021è,æ [14] èª,šï [14] šï,ˆã [14] ˆã,ªãƒ [13] #recsys2021è,æ [13] èª,š Top Word Pairs in Tweet in G8:
[11] #recsys2021,#podrecs [9] spotifyresearch,spotify [9] come,talk [8] keynote,speech [8] francescomeg,yashmosh [8] podcast,recommendations [8] #podrecs,#recsys2021 [8] 17,30 [8] 30,cest [8] podrecsys,rosiejonesnlp Top Word Pairs in Tweet in G9:
[35] #datascience,#ai [34] #ai,#machinelearning [33] cold,start [33] start,problem [33] problem,recommender [33] recommender,systems [33] systems,mitigation [33] mitigation,#bigdata [33] #bigdata,#analytics [33] #analytics,#datascience Top Word Pairs in Tweet in G10:
[13] recommender,systems [7] presented,paper [7] paper,firadl [7] firadl,towards [7] towards,unified [7] unified,metrics [7] metrics,accuracy [7] accuracy,diversity [7] diversity,recommender [6] epic,news Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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:
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:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G10: