The graph represents a network of 260 Twitter users whose tweets in the requested range contained "icwsm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 November 2019 at 06:43 UTC.
The requested start date was Sunday, 10 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 62-day, 6-hour, 5-minute period from Tuesday, 03 September 2019 at 22:39 UTC to Tuesday, 05 November 2019 at 04:45 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 : 260
Unique Edges : 381
Edges With Duplicates : 102
Total Edges : 483
Number of Edge Types : 3
Mentions : 426
Replies to : 39
Tweet : 18
Self-Loops : 18
Reciprocated Vertex Pair Ratio : 0.0508905852417303
Reciprocated Edge Ratio : 0.0968523002421307
Connected Components : 23
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 162
Maximum Edges in a Connected Component : 295
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 3.090082
Graph Density : 0.00613305613305613
Modularity : 0.675913
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 260 Twitter users whose tweets in the requested range contained "icwsm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 November 2019 at 06:43 UTC.
The requested start date was Sunday, 10 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 62-day, 6-hour, 5-minute period from Tuesday, 03 September 2019 at 22:39 UTC to Tuesday, 05 November 2019 at 04:45 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 : icwsm
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[35] computational,social [35] social,science [34] experimental,study [34] study,structural [34] structural,diversity [34] diversity,social [34] social,networks [34] networks,new [34] new,paper [34] paper,jessicatysu Top Word Pairs in Tweet in G1:
[16] more,days [14] r,rs [9] #icwsm2020,submissions [8] know,#chi2020's [8] #chi2020's,deadline [8] few,days [8] 23,59 [8] 59,aoe [7] #icwsm2020,deadline [7] deadline,12 Top Word Pairs in Tweet in G2:
[33] computational,social [33] social,science [32] hiring,tenure [32] tenure,track [32] track,assistant [32] assistant,professor [32] professor,areas [32] areas,digital [32] digital,media [32] media,effects Top Word Pairs in Tweet in G3:
[34] experimental,study [34] study,structural [34] structural,diversity [34] diversity,social [34] social,networks [34] networks,new [34] new,paper [34] paper,jessicatysu [34] jessicatysu,krishna_kamath [34] krishna_kamath,aneeshs Top Word Pairs in Tweet in G4:
[2] diantyyasmin,antikorupsi [2] antikorupsi,sahabaticw [2] sahabaticw,insanechampwres [2] insanechampwres,icwanews [2] icwanews,wwe [2] wwe,wwc [2] wwc,wckitchen [2] wckitchen,wcchoops [2] wcchoops,icwa_newdelhi [2] icwa_newdelhi,icwsm Top Word Pairs in Tweet in G5:
[2] gartner_inc,nngroup [2] nngroup,forrester [2] forrester,econsultancy [2] econsultancy,emarketer [2] emarketer,pewinternet [2] pewinternet,mckquarterly [2] mckquarterly,idxa [2] idxa,mckinsey [2] mckinsey,thinkwithgoogle [2] thinkwithgoogle,stanforddschool Top Word Pairs in Tweet in G6:
[5] ve,seen [5] seen,similar [5] similar,tactics [5] tactics,around [5] around,spread [5] spread,disinformation [5] disinformation,related [5] related,conflict [5] conflict,syria [4] katestarbird,ve Top Word Pairs in Tweet in G7:
[6] apple,news [5] algorithm,audit [5] audit,study [5] study,apple [5] news,accepted [5] accepted,icwsm [5] icwsm,2020 [5] 2020,study [5] study,presents [5] presents,data Top Word Pairs in Tweet in G8:
[7] bibliographic,data [6] 3,months [6] months,ago [6] ago,h_mihaljevic [6] h_mihaljevic,presented [6] presented,thoughts [6] thoughts,analyzing [6] analyzing,#gender [6] #gender,bibliographic [6] data,critical Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: