The graph represents a network of 338 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, 16 January 2022 at 01:32 UTC.
The requested start date was Sunday, 16 January 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 103-day, 20-hour, 11-minute period from Sunday, 03 October 2021 at 09:29 UTC to Saturday, 15 January 2022 at 05:40 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 : 338
Unique Edges : 370
Edges With Duplicates : 626
Total Edges : 996
Number of Edge Types : 5
Tweet : 130
Mentions : 222
Replies to : 46
Retweet : 215
MentionsInRetweet : 383
Self-Loops : 131
Reciprocated Vertex Pair Ratio : 0.0570902394106814
Reciprocated Edge Ratio : 0.10801393728223
Connected Components : 35
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 271
Maximum Edges in a Connected Component : 847
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.203597
Graph Density : 0.0050392428844837
Modularity : 0.423887
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 338 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, 16 January 2022 at 01:32 UTC.
The requested start date was Sunday, 16 January 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 103-day, 20-hour, 11-minute period from Sunday, 03 October 2021 at 09:29 UTC to Saturday, 15 January 2022 at 05:40 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:
[317] days,03 [317] 03,hours [315] days,15 [315] 15,hours [94] hours,ijcai [79] hours,icwsm [78] ijcai,ecai [77] hours,chil [77] hours,naacl [75] hours,facct Top Word Pairs in Tweet in G1:
[53] spotify,publishes [53] publishes,coolest [53] coolest,research [53] research,facts [53] facts,paper [53] paper,everyone [53] everyone,listens [53] listens,music [53] music,released [52] yiqinfu,spotify Top Word Pairs in Tweet in G2:
[20] latest,icwsm [20] icwsm,paper [20] paper,kwstantinos90 [20] kwstantinos90,bunch [20] bunch,set [20] set,characterize [20] characterize,detect [20] detect,pseudoscientific [20] pseudoscientific,misinformation [19] msirivia,latest Top Word Pairs in Tweet in G3:
[8] icwsm,mpi_sws [7] appear,icwsm [7] mpi_sws,intern [7] intern,brownuniversity [7] brownuniversity,ugrad [7] ugrad,hannaaa_b's [7] hannaaa_b's,paper [7] paper,community [7] community,under [7] under,surveillance Top Word Pairs in Tweet in G4:
[6] icwsm,hello [6] hello,authors [6] authors,paper [6] paper,deadline [6] deadline,coming [6] coming,here's [6] here's,thread [6] thread,resources [6] resources,find [6] find,useful Top Word Pairs in Tweet in G5:
[17] exposure,inequality [16] inequality,people [16] long,term [16] accepted,icwsm [14] people,recommender [14] recommender,systems [14] systems,long [14] term,effects [14] pre,print [13] icwsm,together Top Word Pairs in Tweet in G6:
[8] explainable,ml [5] paper,explainable [5] ml,based [5] based,twitter [5] twitter,bot [5] bot,detection [5] detection,accepted [5] accepted,realaaai [5] realaaai,sponsored [5] sponsored,icwsm Top Word Pairs in Tweet in G7:
[11] local,news [11] news,outlets [11] outlets,covered [11] covered,covid [9] benjamindhorne,_jon_green [9] _jon_green,wihbey [9] wihbey,paper [9] paper,icwsm [9] icwsm,looking [9] looking,local Top Word Pairs in Tweet in G8:
[2] social,media [2] icwsm,papers [2] follow,politicians [2] wanlp,best [2] paper,award Top Word Pairs in Tweet in G9:
[7] icwsm,2022 [6] accepted,icwsm [4] paper,accepted [4] two,face [4] face,adversarial [4] adversarial,audit [4] audit,commercial [4] commercial,face [4] face,recognition [3] 2022,co Top Word Pairs in Tweet in G10:
[2] ba_steinberg,brianzenger [2] brianzenger,circulationep [2] circulationep,ankurkalramd [2] ankurkalramd,erinmichos [2] erinmichos,dlbhattmd [2] dlbhattmd,califf001 [2] califf001,escardionews [2] escardionews,kardasian Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: