The graph represents a network of 1,011 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, 25 December 2022 at 01:43 UTC.
The requested start date was Sunday, 25 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 112-day, 14-hour, 13-minute period from Thursday, 01 September 2022 at 17:25 UTC to Friday, 23 December 2022 at 07:39 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 : 1011
Unique Edges : 439
Edges With Duplicates : 1954
Total Edges : 2393
Number of Edge Types : 5
Replies to : 58
Mentions : 120
Retweet : 944
MentionsInRetweet : 1177
Tweet : 94
Self-Loops : 98
Reciprocated Vertex Pair Ratio : 0.0159663865546218
Reciprocated Edge Ratio : 0.0314309346567411
Connected Components : 86
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 815
Maximum Edges in a Connected Component : 2154
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.164569
Graph Density : 0.00118400564092018
Modularity : 0.433489
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,011 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, 25 December 2022 at 01:43 UTC.
The requested start date was Sunday, 25 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 112-day, 14-hour, 13-minute period from Thursday, 01 September 2022 at 17:25 UTC to Friday, 23 December 2022 at 07:39 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:
[332] smell,reviews [308] bayesian,vector [307] vector,autoregression [296] model,developed [296] hypothesis,finding [296] developed,test [296] autoregression,model [296] test,hypothesis [296] novel,bayesian [293] finding,smell Top Word Pairs in Tweet in G1:
[291] vector,autoregression [291] bayesian,vector [290] finding,smell [290] autoregression,model [290] model,developed [290] hypothesis,finding [290] smell,reviews [290] test,hypothesis [290] novel,bayesian [290] developed,test Top Word Pairs in Tweet in G2:
[64] predict,covid [63] tweet,paper [63] yankee,candle [63] complaints,amazon [63] candle,update [63] update,'no [63] covid,december [63] amazon,predict [63] december,tweet [63] paper,icwsm Top Word Pairs in Tweet in G3:
[47] story,audience [47] capture,paper [47] unexpectedly,go [47] go,viral [47] viral,starts [47] audience,capture [47] whole,sad [47] paper,someone [47] someone,unexpectedly [47] starts,more Top Word Pairs in Tweet in G4:
[13] ãƒ,ム[7] social,media [6] icwsm,2023 [5] comment,accepted [5] web,social [5] conference,web [5] aaai,conference [4] international,aaai [4] amazon,reviews [3] detecting,effect Top Word Pairs in Tweet in G5:
[17] paper,spirals [17] closely,related [17] online,comments [17] spirals,toxicity [17] related,paper [17] toxicity,online [16] brendannyhan,closely [13] one,many [13] paper,misleading [13] scientifically,documented Top Word Pairs in Tweet in G6:
[22] reviews,being [22] surges,here's [22] candle,smell [22] covid,surges [22] reviewed,research [22] here's,peer [22] research,exactly [22] joke,candle [22] being,tied [22] smell,reviews Top Word Pairs in Tweet in G7:
[10] ç,ÿæ [9] ÿè,æ [7] ãƒ,ム[6] ç,ç [5] トã,ç [5] œèª,ç [5] ˆã,šè [5] šè,ç [5] ªå,ÿã [5] ÿã,ƒã Top Word Pairs in Tweet in G8:
[8] chi,icwsm [8] opportunities,present [8] low,key [8] key,opportunities [8] present,early [8] looking,low [8] deadlines,over [8] work,check [8] over,looking [8] icwsm,deadlines Top Word Pairs in Tweet in G9:
[14] reviews,covid [14] candle,smell [14] impressive,yankee [14] smell,reviews [14] covid,cases [14] yankee,candle [13] familyunequal,impressive Top Word Pairs in Tweet in G10:
[14] icwsm,2023 [12] update,alert [12] accepted,icwsm [12] twitter,academic [12] alert,paper [12] citation,update [12] paper,twitter [12] api,accepted [12] academic,api [11] jurgenpfeffer,citation Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: