The graph represents a network of 986 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, 20 November 2022 at 01:43 UTC.
The requested start date was Sunday, 20 November 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 93-day, 21-hour, 59-minute period from Tuesday, 02 August 2022 at 04:06 UTC to Friday, 04 November 2022 at 02:05 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 : 986
Unique Edges : 400
Edges With Duplicates : 1792
Total Edges : 2192
Number of Edge Types : 5
Retweet : 875
MentionsInRetweet : 1057
Tweet : 93
Replies to : 57
Mentions : 110
Self-Loops : 96
Reciprocated Vertex Pair Ratio : 0.00730593607305936
Reciprocated Edge Ratio : 0.014505893019039
Connected Components : 98
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 697
Maximum Edges in a Connected Component : 1784
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.461661
Graph Density : 0.00113569670822994
Modularity : 0.43395
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 986 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, 20 November 2022 at 01:43 UTC.
The requested start date was Sunday, 20 November 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 93-day, 21-hour, 59-minute period from Tuesday, 02 August 2022 at 04:06 UTC to Friday, 04 November 2022 at 02:05 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:
[63] predict,covid [62] amazon,predict [62] paper,icwsm [62] smell',complaints [62] candle,update [62] 'no,smell' [62] december,tweet [62] covid,december [62] update,'no [62] yankee,candle Top Word Pairs in Tweet in G3:
[48] story,audience [48] capture,paper [48] unexpectedly,go [48] go,viral [48] viral,starts [48] audience,capture [48] whole,sad [48] paper,someone [48] someone,unexpectedly [48] starts,more Top Word Pairs in Tweet in G4:
[12] ãƒ,ム[5] social,media [4] international,aaai [4] web,social [4] conference,web [4] aaai,conference [4] amazon,reviews [3] detecting,effect [3] bayesian,vector [3] reviews,using Top Word Pairs in Tweet in G5:
[23] smell,reviews [23] reviewed,research [23] covid,surges [23] being,tied [23] here's,peer [23] candle,smell [23] peer,reviewed [23] research,exactly [23] surges,here's [23] reviews,being Top Word Pairs in Tweet in G6:
[8] key,opportunities [8] present,early [8] looking,low [8] opportunities,present [8] icwsm,deadlines [8] work,check [8] early,stage [8] over,looking [8] chi,icwsm [8] stage,work Top Word Pairs in Tweet in G7:
[26] power,440 [26] platforms,domain [26] sites,including [26] 440,misinformation [26] analyze,service [26] including,hosting [26] hate,sites [26] providers,power [26] misinformation,hate [26] hosting,platforms Top Word Pairs in Tweet in G8:
[14] covid,cases [14] reviews,covid [14] smell,reviews [14] candle,smell [14] yankee,candle [14] impressive,yankee [13] familyunequal,impressive Top Word Pairs in Tweet in G9:
[6] together,experiments [6] accepted,#icwsm [6] '23,together [6] #icwsm,'23 [6] experiments,raise [6] paper,accepted [5] icwsm'23,paper [5] give,data [5] give,privacy [5] privacy,check Top Word Pairs in Tweet in G10:
[10] ç,ÿæ [9] ÿè,æ [7] ãƒ,ム[6] ç,ç [5] çš,åˆ [5] èª,ç [5] æž,ÿè [5] ˆã,œã [5] åˆ,æž [5] šè,ç Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: