The graph represents a network of 560 Twitter users whose recent tweets contained "#ccs2022", 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 Thursday, 20 October 2022 at 16:59 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 20-minute period from Wednesday, 12 October 2022 at 08:27 UTC to Thursday, 20 October 2022 at 16:47 UTC.
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 : 560
Unique Edges : 1769
Edges With Duplicates : 1336
Total Edges : 3105
Number of Edge Types : 5
Retweet : 935
Mentions : 583
MentionsInRetweet : 1338
Replies to : 89
Tweet : 160
Self-Loops : 163
Reciprocated Vertex Pair Ratio : 0.101748807631161
Reciprocated Edge Ratio : 0.184704184704185
Connected Components : 15
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 520
Maximum Edges in a Connected Component : 3057
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.920642
Graph Density : 0.00664132379248658
Modularity : 0.367308
NodeXL Version : 1.0.1.506
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=283131
Data Import : The graph represents a network of 560 Twitter users whose recent tweets contained "#ccs2022", 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 Thursday, 20 October 2022 at 16:59 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 20-minute period from Wednesday, 12 October 2022 at 08:27 UTC to Thursday, 20 October 2022 at 16:47 UTC.
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 : #ccs2022
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:
[116] complex,systems [102] #ccs2022,ccs2022 [75] computational,social [75] social,science [52] systems,vulnerable [52] sala,victoria [50] ccs2022,#ccs2022 [49] sala,magna [48] attending,#ccs2022 [42] invited,speaker Top Word Pairs in Tweet in G1:
[48] complex,systems [41] computational,social [41] social,science [39] systems,vulnerable [31] #ccs2022,ccs2022 [26] ccs2022,workshop [24] workshop,complex [22] daniela,paolotti [21] sala,mozart [18] social,media Top Word Pairs in Tweet in G2:
[26] sala,magna [24] sala,victoria [22] #toponets22,#ccs2022 [22] #ccs2022,ccs2022 [21] higher,order [21] social,science [21] computational,social [20] session,#ccs2022 [18] attending,#ccs2022 [17] science,satellite Top Word Pairs in Tweet in G3:
[20] complex,systems [16] conference,complex [16] #cxsport,#ccs2022 [14] #cxsports,#ccs2022 [11] ccs2022,#ccs2022 [11] warm,#ccs2022 [10] víctor,orta [8] #ccs2022,continues [8] presenting,work [8] invited,speaker Top Word Pairs in Tweet in G4:
[34] #ccs2022,ccs2022 [22] amethyst,satellite [22] game,theory [19] sala,victoria [18] #gisc_group,#ccs2022 [15] edition,amethyst [15] complex,systems [15] slides,writing [15] yr_css,find [15] amethyst,ii Top Word Pairs in Tweet in G5:
[20] ccs2022,cshvienna [18] attending,#ccs2022 [16] filippo,menczer [14] #ccs2022,#winsinccs22 [12] come,join [11] learn,more [10] online,virality [10] hacking,online [9] talk,tuesday [8] lespin's,talk Top Word Pairs in Tweet in G6:
[19] vittorio,loreto [16] loretoff,ccs2022 [12] ruggiero,sardo [11] #economics,#finance [11] matteo,bruno [11] economic,fitness [10] loreto,#ccs2022 [9] poster,sessions [9] today,#ccs2022 [8] networks,#ccs2022 Top Word Pairs in Tweet in G7:
[8] poster,#ccs2022 [7] very,nice [7] nice,talk [6] know,more [6] ferri,ireneferri11 [6] model,opinion [6] opinion,formation [6] more,poster [6] talk,model [6] agents,know Top Word Pairs in Tweet in G8:
[11] 17,21 [11] conference,complex [11] complex,systems [11] 21,october [11] booth,#12 [11] systems,#ccs2022 [11] october,2022 [10] palma,mallorca [10] spain,meet [10] delegates,booth Top Word Pairs in Tweet in G9:
[7] multidisciplinary,work [7] baumann,czaplicka [7] homogeneous,team [7] diverse,team [7] work,cudanlab [7] czaplicka,iyadrahwan [7] hard,perfectly [7] iyadrahwan,#ccs2022 [7] solution,quality [7] task,homogeneous Top Word Pairs in Tweet in G10:
[3] report,#ccs2022 [2] full,2022 [2] survey,report Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G9:
Top Tweeters in G10: