The graph represents a network of 321 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, 28 November 2021 at 01:32 UTC.
The requested start date was Sunday, 28 November 2021 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 84-day, 1-hour, 1-minute period from Friday, 03 September 2021 at 19:50 UTC to Friday, 26 November 2021 at 20:51 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 : 321
Unique Edges : 476
Edges With Duplicates : 482
Total Edges : 958
Number of Edge Types : 5
Replies to : 55
Retweet : 201
MentionsInRetweet : 421
Tweet : 25
Mentions : 256
Self-Loops : 26
Reciprocated Vertex Pair Ratio : 0.0550314465408805
Reciprocated Edge Ratio : 0.104321907600596
Connected Components : 21
Single-Vertex Connected Components : 10
Maximum Vertices in a Connected Component : 285
Maximum Edges in a Connected Component : 923
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.12139
Graph Density : 0.00653232087227414
Modularity : 0.456817
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 321 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, 28 November 2021 at 01:32 UTC.
The requested start date was Sunday, 28 November 2021 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 84-day, 1-hour, 1-minute period from Friday, 03 September 2021 at 19:50 UTC to Friday, 26 November 2021 at 20:51 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:
[68] icwsm,2022 [52] spotify,publishes [52] publishes,coolest [52] coolest,research [52] research,facts [52] facts,paper [52] paper,everyone [52] everyone,listens [52] listens,music [52] music,released Top Word Pairs in Tweet in G1:
[52] spotify,publishes [52] publishes,coolest [52] coolest,research [52] research,facts [52] facts,paper [52] paper,everyone [52] everyone,listens [52] listens,music [52] music,released [51] yiqinfu,spotify Top Word Pairs in Tweet in G2:
[29] icwsm,2022 [12] happy,announce [11] announce,icwsm [11] september,15 [11] 15,2021 [10] 2022,call [10] open,please [10] please,welcome [10] welcome,2022 [10] paper,submission Top Word Pairs in Tweet in G3:
[28] icwsm,2022 [14] icwsm,happy [14] happy,announce [14] announce,icwsm [14] diyi_yang,yelenamejova [14] september,15 [11] general,chairs [11] chairs,diyi_yang [11] icwsm,icwsm [11] 2022,program Top Word Pairs in Tweet in G4:
[21] icwsm,paper [20] latest,icwsm [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 G5:
[14] accepted,icwsm [12] icwsm,together [10] francescobonchi,paper [9] exposure,inequality [9] long,term [8] paper,exposure [8] inequality,people [8] people,recommender [8] recommender,systems [8] systems,long 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:
[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 G8:
[10] local,news [10] news,outlets [10] outlets,covered [10] covered,covid [8] benjamindhorne,_jon_green [8] _jon_green,wihbey [8] wihbey,paper [8] paper,icwsm [8] icwsm,looking [8] looking,local Top Word Pairs in Tweet in G9:
[5] walid_magdy,kaniea [4] dilarakkl,walid_magdy [4] kaniea,icwsm [3] really,happy [3] happy,announce [3] announce,paper [3] paper,authentication [3] authentication,question [3] question,public [3] public,social Top Word Pairs in Tweet in G10:
[4] icwsm'22,weakening [4] weakening,inner [4] inner,strength [4] strength,spotting [4] spotting,core [4] core,collusive [4] collusive,users [4] users,youtube [4] youtube,blackmarket [4] blackmarket,network Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: