The graph represents a network of 328 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 September 2020 at 22:15 UTC.
The requested start date was Sunday, 20 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 79-day, 18-hour, 22-minute period from Wednesday, 01 July 2020 at 00:03 UTC to Friday, 18 September 2020 at 18:25 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 : 328
Unique Edges : 337
Edges With Duplicates : 410
Total Edges : 747
Number of Edge Types : 5
Retweet : 170
MentionsInRetweet : 332
Mentions : 176
Replies to : 38
Tweet : 31
Self-Loops : 33
Reciprocated Vertex Pair Ratio : 0.0526315789473684
Reciprocated Edge Ratio : 0.1
Connected Components : 46
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 156
Maximum Edges in a Connected Component : 437
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.088041
Graph Density : 0.00466174386514507
Modularity : 0.548289
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 328 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 September 2020 at 22:15 UTC.
The requested start date was Sunday, 20 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 79-day, 18-hour, 22-minute period from Wednesday, 01 July 2020 at 00:03 UTC to Friday, 18 September 2020 at 18:25 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:
[36] compared,sentiment [36] sentiment,associated [36] associated,45 [36] 45,emoji [34] love,emoji [34] google's,jenniferdaniel [34] jenniferdaniel,ashley [34] ashley,shurick [34] shurick,compared [33] googledesign,love Top Word Pairs in Tweet in G1:
[18] social,media [14] dear,virtual [14] virtual,#sunbelt2020 [14] #sunbelt2020,#icwsm [14] #icwsm,2020 [14] 2020,participants [14] participants,dear [14] dear,people [14] people,afford [14] afford,participate Top Word Pairs in Tweet in G2:
[8] nodexl,icwsm [8] paper,evolution [8] evolution,manosphere [7] icwsm,nodexl [6] coming,back [6] back,vacations [6] vacations,great [6] great,news [6] news,idramalab [6] idramalab,folks Top Word Pairs in Tweet in G3:
[34] love,emoji [34] google's,jenniferdaniel [34] jenniferdaniel,ashley [34] ashley,shurick [34] shurick,compared [34] compared,sentiment [34] sentiment,associated [34] associated,45 [34] 45,emoji [33] googledesign,love Top Word Pairs in Tweet in G4:
[4] social,media [2] #icwsm2020,paper [2] emoji,sentiment [2] sentiment,vendors [2] interesting,paper [2] local,music Top Word Pairs in Tweet in G5:
[5] thoughtful,accessible [5] accessible,good [5] good,undergrad [5] undergrad,tech [5] tech,courses [5] courses,article [5] article,abebab [5] abebab,faculty [5] faculty,reforming [5] here's,articles Top Word Pairs in Tweet in G6:
[10] political,trolls [5] strategies,political [5] trolls,use [5] use,mobilize [5] mobilize,citizens [5] citizens,agenda [5] agenda,icwsm [5] icwsm,data [5] data,analysis [5] analysis,16 Top Word Pairs in Tweet in G8:
[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 G9:
[7] conventions,moral [7] moral,orders [7] orders,field [7] field,#ai [7] #ai,text [7] text,classification [7] classification,economics [7] economics,convention [7] convention,shows [6] kerstingaiml,conventions Top Word Pairs in Tweet in G10:
[2] mollistan,one [2] one,jeffrey [2] jeffrey,st [2] st,clair [2] clair,written [2] written,mintpressnews [2] mintpressnews,mpn [2] mpn,website [2] website,specializing [2] specializing,propaganda Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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 G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: