The graph represents a network of 231 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, 08 November 2020 at 23:15 UTC.
The requested start date was Sunday, 08 November 2020 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 66-day, 16-hour, 25-minute period from Tuesday, 01 September 2020 at 06:26 UTC to Friday, 06 November 2020 at 22:52 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 : 231
Unique Edges : 233
Edges With Duplicates : 266
Total Edges : 499
Number of Edge Types : 5
Tweet : 20
Mentions : 124
Replies to : 24
Retweet : 105
MentionsInRetweet : 226
Self-Loops : 21
Reciprocated Vertex Pair Ratio : 0.0344827586206897
Reciprocated Edge Ratio : 0.0666666666666667
Connected Components : 36
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 104
Maximum Edges in a Connected Component : 326
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.917349
Graph Density : 0.0062111801242236
Modularity : 0.542314
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 231 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, 08 November 2020 at 23:15 UTC.
The requested start date was Sunday, 08 November 2020 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 66-day, 16-hour, 25-minute period from Tuesday, 01 September 2020 at 06:26 UTC to Friday, 06 November 2020 at 22:52 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:
[23] 10年ほど前の研究として,単純なrtは分極化を促す一方 [23] 単純なrtは分極化を促す一方,言及は分極化を抑止するということが報告されているので [23] 言及は分極化を抑止するということが報告されているので,引用rtを推奨するのは [23] 引用rtを推奨するのは,その一環かもなぁ [23] その一環かもなぁ,political [23] political,polarization [23] polarization,twitter [22] ceekz,10年ほど前の研究として [18] icwsm,2021 [15] social,media Top Word Pairs in Tweet in G1:
[16] icwsm,2021 [14] general,chair [11] quick,reminder [11] reminder,icwsm [11] icwsm,september [11] september,round [11] round,papers [11] papers,due [11] due,tomorrow [11] tomorrow,september Top Word Pairs in Tweet in G2:
[23] 10年ほど前の研究として,単純なrtは分極化を促す一方 [23] 単純なrtは分極化を促す一方,言及は分極化を抑止するということが報告されているので [23] 言及は分極化を抑止するということが報告されているので,引用rtを推奨するのは [23] 引用rtを推奨するのは,その一環かもなぁ [23] その一環かもなぁ,political [23] political,polarization [23] polarization,twitter [22] ceekz,10年ほど前の研究として Top Word Pairs in Tweet in G3:
[7] icwsm,nodexl [7] nodexl,icwsm [5] icwsm,docassar [5] jurgenpfeffer,syardi [5] manoelribeiro,kerstingaiml [4] top,hashtags [4] hashtags,#icwsm [4] #icwsm,#sunbelt2020 [4] #sunbelt2020,#ai [4] #ai,#the_donald Top Word Pairs in Tweet in G4:
[6] submit,4th [6] 4th,affective [6] affective,content [6] content,workshop [6] workshop,realaaai [6] realaaai,feb'21 [6] feb'21,feat [6] feat,claff [6] claff,diplomacy [6] diplomacy,shared Top Word Pairs in Tweet in G5:
[10] #readinggroup,sessions [10] sessions,go [10] go,open [10] open,paper [10] paper,oct [10] oct,26 [10] 26,higher [10] higher,ground [10] ground,understanding [10] understanding,fake Top Word Pairs in Tweet in G6:
[5] very,productive [5] productive,workshop [5] workshop,#cybersocialthreats [5] #cybersocialthreats,last [5] last,june [5] june,thanks [5] thanks,authors [5] authors,participants [5] participants,pc [5] pc,members Top Word Pairs in Tweet in G8:
[2] local,music Top Word Pairs in Tweet in G9:
[10] h_tejas,rmantha2 [8] thaiyaan,h_tejas [6] rmantha2,study [6] study,scrapped [6] scrapped,matrimonial [6] matrimonial,sites [6] sites,tech [6] tech,savvy [6] savvy,internet [6] internet,people Top Word Pairs in Tweet in G10:
[8] face,clearly [4] ios,face [4] clearly,open [4] open,mouthed [4] mouthed,shock [4] shock,whatsapp [4] whatsapp,face [4] clearly,please [4] please,don [4] don,murder Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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:
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: