The graph represents a network of 662 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, 17 April 2022 at 00:32 UTC.
The requested start date was Sunday, 17 April 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 102-day, 13-hour, 1-minute period from Saturday, 01 January 2022 at 08:00 UTC to Wednesday, 13 April 2022 at 21:01 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 : 662
Unique Edges : 997
Edges With Duplicates : 1850
Total Edges : 2847
Number of Edge Types : 5
Replies to : 129
Retweet : 629
MentionsInRetweet : 1275
Mentions : 710
Tweet : 104
Self-Loops : 106
Reciprocated Vertex Pair Ratio : 0.0789297658862876
Reciprocated Edge Ratio : 0.14631122132672
Connected Components : 36
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 539
Maximum Edges in a Connected Component : 2631
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.921229
Graph Density : 0.00368616624998286
Modularity : 0.375664
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 662 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, 17 April 2022 at 00:32 UTC.
The requested start date was Sunday, 17 April 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 102-day, 13-hour, 1-minute period from Saturday, 01 January 2022 at 08:00 UTC to Wednesday, 13 April 2022 at 21:01 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[110] days,15 [110] 15,hours [109] days,03 [109] 03,hours [79] accepted,icwsm [74] social,media [54] icwsm,2022 [46] excited,announce [42] workshop,icwsm [39] christorreslugo,manitapote Top Word Pairs in Tweet in G1:
[28] workshop,icwsm [22] icwsm,2022 [19] cyber,social [19] social,threats [18] accepted,icwsm [16] icwsm,22 [16] cysoc,workshop [14] #socialmedia,#misinformation [13] working,#socialmedia [12] workshop,co Top Word Pairs in Tweet in G2:
[25] wellbeing,vulnerable [24] workshop,data [24] data,wellbeing [24] vulnerable,icwsm [20] accepted,icwsm [16] icwsm,submit [16] submit,health [16] health,poverty [15] cfp,workshop [14] yelenamejova,cfp Top Word Pairs in Tweet in G3:
[36] acm_cscw,icwsm [36] icwsm,acm_chi [29] papers,accepted [28] text,classification [28] classification,systems [28] systems,social [28] 2019,papers [28] accepted,top [28] top,css [28] css,conf Top Word Pairs in Tweet in G4:
[28] excited,announce [24] data,challenge [23] year's,icwsm [23] icwsm,data [23] health,related [21] mad_astronaut,eshwar_chan [20] announce,along [20] along,mad_astronaut [20] eshwar_chan,year's [20] challenge,theme Top Word Pairs in Tweet in G5:
[15] accepted,icwsm [15] icwsm,#icwsm22 [14] arora__udit,asmitks [14] asmitks,samroadiee [14] samroadiee,aryaveersingh07 [13] icwsm,ratnrajiv [13] ratnrajiv,ponguru [13] ponguru,arora__udit [8] snchancellor,bhecht [8] factdrill,dataset Top Word Pairs in Tweet in G6:
[36] christorreslugo,manitapote [36] manitapote,acnwala [34] manipulating,twitter [34] twitter,deletions [34] deletions,osome [34] osome,paper [34] paper,christorreslugo [34] acnwala,presented [33] osome_iu,manipulating [31] presented,icwsm Top Word Pairs in Tweet in G7:
[23] echo,system [22] grey,propaganda [21] put,several [21] several,shorter [21] shorter,papers [21] papers,echo [21] system,state [21] state,grey [21] propaganda,pushing [21] pushing,those Top Word Pairs in Tweet in G8:
[24] indian,americans [23] study,shows [23] shows,13 [23] 13,14 [23] 14,those [23] those,indian [23] americans,seeking [23] seeking,matrimonial [23] matrimonial,alliances [23] alliances,websites Top Word Pairs in Tweet in G10:
[110] days,15 [110] 15,hours [109] days,03 [109] 03,hours [28] hours,icwsm [28] hours,icml [28] hours,sigir [26] ijcai,ecai [26] hours,chil [26] hours,naacl 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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 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: