The graph represents a network of 2,911 Twitter users whose tweets in the requested range contained "cscw", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 November 2019 at 14:18 UTC.
The requested start date was Sunday, 17 November 2019 at 14:16 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 76-day, 13-hour, 44-minute period from Sunday, 01 September 2019 at 13:27 UTC to Sunday, 17 November 2019 at 03:11 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 : 2911
Unique Edges : 4597
Edges With Duplicates : 2377
Total Edges : 6974
Self-Loops : 642
Reciprocated Vertex Pair Ratio : 0.071123451516446
Reciprocated Edge Ratio : 0.132801595214357
Connected Components : 97
Single-Vertex Connected Components : 57
Maximum Vertices in a Connected Component : 2683
Maximum Edges in a Connected Component : 6488
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.668398
Graph Density : 0.000592019133491756
Modularity : 0.495527
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,911 Twitter users whose tweets in the requested range contained "cscw", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 November 2019 at 14:18 UTC.
The requested start date was Sunday, 17 November 2019 at 14:16 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 76-day, 13-hour, 44-minute period from Sunday, 01 September 2019 at 13:27 UTC to Sunday, 17 November 2019 at 03:11 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 : cscw
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1323] kaist,이병주 [1323] 이병주,교수님 [1323] 교수님,연구실에서 [1323] 연구실에서,진행한 [1323] 진행한,멋진 [1323] 멋진,연구입니다 [1323] 연구입니다,비전 [1323] 비전,기반 [1323] 기반,사물 [1323] 사물,인물 Top Word Pairs in Tweet in G1:
[1321] kaist,이병주 [1321] 이병주,교수님 [1321] 교수님,연구실에서 [1321] 연구실에서,진행한 [1321] 진행한,멋진 [1321] 멋진,연구입니다 [1321] 연구입니다,비전 [1321] 비전,기반 [1321] 기반,사물 [1321] 사물,인물 Top Word Pairs in Tweet in G2:
[63] #cscw2019,paper [49] check,out [47] best,paper [47] social,media [39] acm_cscw,acmuist [35] oct,15 [34] cscw,paper [34] honorable,mention [32] quarterly,deadlines [32] 15,2019 Top Word Pairs in Tweet in G3:
[17] come,talk [13] hci,cscw [11] interested,doing [11] doing,phd [11] phd,cscw [11] cscw,hci [11] hci,stockholm [11] stockholm,sweden [11] sweden,come [11] talk,#cscw2019 Top Word Pairs in Tweet in G4:
[43] decision,making [39] making,increasingly [39] increasingly,sociotechnical [39] sociotechnical,lack [39] lack,thorough [39] thorough,normative [39] normative,empirical [39] empirical,understanding [38] benzevgreen,decision [28] understanding,proces Top Word Pairs in Tweet in G5:
[31] senior,cs [31] cs,prof [31] prof,#acmcslaw [31] #acmcslaw,saying [31] saying,need [31] need,conferences [31] conferences,pair [31] pair,cs [31] cs,sociology [31] sociology,study Top Word Pairs in Tweet in G6:
[26] cscw,solutions [8] computer,supported [6] human,centered [6] ibm,research [6] 4,#digitalworkplace [6] solutions,#2beaccomplished [5] work,cscw [5] research,ai [5] ai,focuses [5] focuses,human Top Word Pairs in Tweet in G7:
[285] ã,ã [77] ã,ム[71] ãƒ,ã [65] ãƒ,ム[26] ã,ªã [21] ã,å [21] å,ã [17] ã,œã [16] œã,ã [16] ªã,ã Top Word Pairs in Tweet in G8:
[6] excited,introduce [6] introduce,cscw [6] cscw,world [6] world,blind [6] blind,outrigger [6] outrigger,paddling [6] paddling,morning [6] morning,sharing [6] sharing,work [6] work,makapoaquatics Top Word Pairs in Tweet in G9:
[12] women's,health [12] health,wellbeing [12] wellbeing,empowerment [12] cscw,hci [11] putting,together [11] together,list [11] list,those [11] those,care [11] care,work [11] work,women's Top Word Pairs in Tweet in G10:
[13] acm_cscw,bots [13] bots,role [13] role,spread [13] spread,religious [13] religious,hate [13] hate,arabic [13] arabic,twitter [13] twitter,#cscw2019 [13] #cscw2019,work [13] work,nuhaalbadi Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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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 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: