The graph represents a network of 434 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, 03 November 2019 at 05:43 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 92-day, 6-hour, 13-minute period from Thursday, 01 August 2019 at 13:52 UTC to Friday, 01 November 2019 at 20:06 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 : 434
Unique Edges : 606
Edges With Duplicates : 144
Total Edges : 750
Number of Edge Types : 3
Tweet : 50
Replies to : 66
Mentions : 634
Self-Loops : 50
Reciprocated Vertex Pair Ratio : 0.0469011725293132
Reciprocated Edge Ratio : 0.0896
Connected Components : 55
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 301
Maximum Edges in a Connected Component : 633
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.456033
Graph Density : 0.00332584795819542
Modularity : 0.687004
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 434 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, 03 November 2019 at 05:43 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 92-day, 6-hour, 13-minute period from Thursday, 01 August 2019 at 13:52 UTC to Friday, 01 November 2019 at 20:06 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:
[48] icwsm,2020 [47] check,out [37] computational,social [37] social,science [35] september,15 [34] experimental,study [34] study,structural [34] structural,diversity [34] diversity,social [34] social,networks Top Word Pairs in Tweet in G1:
[37] check,out [35] icwsm,2020 [28] september,15 [26] deadline,september [25] good,news [25] news,icwsm [25] 2020,website [25] website,now [25] now,live [25] next,deadline 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:
[3] nama2,menteri [2] icwsm,2019 [2] taat,hukum [2] hukum,#kabinetjokowi [2] menyebutkan,nama2 [2] menteri,#kabinetjokowi [2] jokowi,langgar [2] langgar,uu [2] uu,kementrian [2] kementrian,#kabinetjokowi Top Word Pairs in Tweet in G5:
[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 G7:
[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 G8:
[4] page,limits [4] cfiesler,icwsm [3] more,days [2] jeffbigham,mark_riedl [2] learn,icwsm [2] icwsm,codybuntain [2] copyright,policies [2] towards,page [2] few,days [2] r,rs Top Word Pairs in Tweet in G9:
[4] check,out [4] thanks,icatgt [4] icatgt,thanks [4] thanks,benjamin [4] benjamin,sugar [4] sugar,emrek [4] emrek,johntorousmd [4] johntorousmd,abrahaobruno [4] abrahaobruno,munmun10 [4] munmun10,making Top Word Pairs in Tweet in G10:
[2] zenscreamer,tjbogart33 [2] tjbogart33,itscaseydambit [2] itscaseydambit,rosesage6 [2] rosesage6,mr_prime69 [2] mr_prime69,anyone [2] anyone,interested [2] interested,understanding [2] understanding,goes [2] enjoy,new [2] new,cool Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 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:
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Top Tweeters in G9:
Top Tweeters in G10: