The graph represents a network of 196 Twitter users whose recent tweets contained "#ICWSM2022", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 08 June 2022 at 18:20 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 20-minute period from Tuesday, 31 May 2022 at 17:52 UTC to Wednesday, 08 June 2022 at 18:12 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 : 196
Unique Edges : 500
Edges With Duplicates : 109
Total Edges : 609
Number of Edge Types : 5
Mentions : 107
MentionsInRetweet : 292
Retweet : 176
Tweet : 23
Replies to : 11
Self-Loops : 24
Reciprocated Vertex Pair Ratio : 0.113924050632911
Reciprocated Edge Ratio : 0.204545454545455
Connected Components : 7
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 179
Maximum Edges in a Connected Component : 581
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.105934
Graph Density : 0.0138147566718995
Modularity : 0.512758
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 196 Twitter users whose recent tweets contained "#ICWSM2022", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 08 June 2022 at 18:20 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 20-minute period from Tuesday, 31 May 2022 at 17:52 UTC to Wednesday, 08 June 2022 at 18:12 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 : TwitterSearch
Graph Term : #ICWSM2022
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[37] social,media [18] icwsm,#icwsm2022 [17] #icwsm2022,icwsm [16] social,scientists [13] #icwsm2022,#icwsm [13] bert,social [13] social,sciences [13] sciences,humanities [13] humanities,#icwsm2022 [13] #icwsm2022,paper Top Word Pairs in Tweet in G1:
[17] social,media [11] icwsm,#cysoc2022 [11] #cysoc2022,#icwsm2022 [8] data,challenge [7] icwsm,#icwsm2022 [7] #icwsm2022,icwsm [6] today,presented [6] presented,paper [6] paper,ndimarco_ [6] ndimarco_,walter4c Top Word Pairs in Tweet in G2:
[8] icwsm,time [8] time,pleasure [8] pleasure,moderating [8] moderating,diversity [8] diversity,icwsm [8] icwsm,panel [8] panel,tomorrow [8] tomorrow,featuring [8] featuring,set [8] set,excellent Top Word Pairs in Tweet in G3:
[12] tutorial,social [12] social,scientists [12] scientists,using [12] using,named [12] named,entity [12] entity,recognition [12] recognition,dependency [12] dependency,parses [12] parses,extract [12] extract,info Top Word Pairs in Tweet in G4:
[7] june,6th [6] best,paper [6] congrats,#icwsm2022 [6] icwsm,next [6] next,week [6] week,learn [6] learn,come [6] come,online [6] online,tutorial [6] tutorial,underlineio Top Word Pairs in Tweet in G5:
[10] bert,social [10] social,sciences [10] sciences,humanities [10] humanities,#icwsm2022 [8] languages,tutorial [8] tutorial,using [8] using,bert [8] #icwsm2022,speakers [8] speakers,maria [8] maria,antoniak Top Word Pairs in Tweet in G6:
[7] sadly,miss [7] miss,#icwsm2022 [7] #icwsm2022,person [7] person,still [7] still,excited [7] excited,share [7] share,work [7] work,identifying [7] identifying,competition [7] competition,mutualism Top Word Pairs in Tweet in G7:
[7] paper,dataset [6] dataset,#icwsm2022 [6] #icwsm2022,1st [6] 1st,time [6] time,sourced [6] sourced,1000s [6] 1000s,local [6] local,news [6] news,outlets [6] outlets,calculated Top Word Pairs in Tweet in G8:
[5] excited,three [5] three,papers [5] papers,appearing [5] appearing,#icwsm2022 [5] #icwsm2022,please [5] please,join [5] join,virtual [5] virtual,spotify [5] spotify,booth [5] booth,during Top Word Pairs in Tweet in G9:
[6] group,participating [6] participating,icwsm [6] icwsm,multiple [6] multiple,dimensions [6] dimensions,walid_magdy [6] walid_magdy,serving [6] serving,vc [6] vc,chair [6] chair,bjoernross [6] bjoernross,agostina_cal Top Word Pairs in Tweet in G10:
[4] auditing,tech [4] tech,discover [4] discover,systemic [4] systemic,inequalities [4] inequalities,karrie [4] karrie,karahalios [4] karahalios,kkarahal [4] kkarahal,#icwsm2022 [4] #icwsm2022,workshop [4] workshop,data Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: