The graph represents a network of 931 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, 05 July 2020 at 01:26 UTC.
The requested start date was Sunday, 05 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 91-day, 18-hour, 48-minute period from Wednesday, 01 April 2020 at 16:13 UTC to Thursday, 02 July 2020 at 11:02 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 : 931
Unique Edges : 1486
Edges With Duplicates : 3326
Total Edges : 4812
Number of Edge Types : 5
Retweet : 1031
MentionsInRetweet : 2080
Mentions : 1311
Replies to : 240
Tweet : 150
Self-Loops : 156
Reciprocated Vertex Pair Ratio : 0.0947867298578199
Reciprocated Edge Ratio : 0.173160173160173
Connected Components : 46
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 832
Maximum Edges in a Connected Component : 4711
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.176546
Graph Density : 0.00293475624545234
Modularity : 0.348394
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 931 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, 05 July 2020 at 01:26 UTC.
The requested start date was Sunday, 05 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 91-day, 18-hour, 48-minute period from Wednesday, 01 April 2020 at 16:13 UTC to Thursday, 02 July 2020 at 11:02 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:
[122] icwsm,2020 [86] social,media [47] icwsm,#icwsm2020 [45] research,track [43] web,social [42] conference,web [42] please,join [41] data,challenge [40] international,aaai [40] aaai,conference Top Word Pairs in Tweet in G1:
[36] bkeegan,saviaga [28] icwsm,2020 [26] icwsm,data [26] saviaga,saiphcita [26] saiphcita,icwsm [24] political,trolls [23] saviaga,icwsm [23] social,media [19] data,challenge [18] conference,web Top Word Pairs in Tweet in G2:
[50] icwsm,2020 [27] kwstantinos90,a_papasavva [24] disturbed,youtube [24] youtube,kids [24] kids,characterizing [24] targeting,young [24] young,children [23] characterizing,detecting [23] detecting,inappropriate [23] inappropriate,videos Top Word Pairs in Tweet in G3:
[43] research,track [38] acmdl,eswc_conf [30] promised,deadlines [30] deadlines,research [30] track,#cikm2020 [30] #cikm2020,adapting [30] adapting,situation [30] #covid19,acmdl [29] situation,#covid19 [29] cikm2020,promised Top Word Pairs in Tweet in G4:
[21] icwsm,2020 [13] icwsm,workshop [10] social,news [10] news,media [10] media,misinformation [9] social,media [9] hi,#misinfo [9] #misinfo,folks [9] folks,mediate [9] mediate,icwsm Top Word Pairs in Tweet in G5:
[16] social,media [13] media,research [13] ethics,workshop [12] research,ethics [8] #dataispeople,social [8] workshop,over [8] over,zoom [7] today,kick [7] kick,icwsm [7] icwsm,holding Top Word Pairs in Tweet in G6:
[23] tutorial,icwsm [13] social,media [12] stance,detection [12] detection,tutorial [12] icwsm,aldayelabeer [10] material,stance [10] aldayelabeer,walid_magdy [10] walid_magdy,available [9] kareem2darwish,material [8] icwsm,2020 Top Word Pairs in Tweet in G7:
[17] middle,east [17] east,twitter [17] twitter,bots [17] bots,covid [17] covid,19 [16] came,really [16] really,great [16] great,paper [16] paper,bots [16] bots,misinformation Top Word Pairs in Tweet in G8:
[8] cossard_ale,icwsm [8] paper,icwsm [7] great,presentation [7] presentation,yesterday [7] yesterday,cossard_ale [7] icwsm,paper [7] paper,italian [7] italian,debate [7] debate,around [7] around,vaccines Top Word Pairs in Tweet in G9:
[8] blumenthal's,blog [7] course,starbird's [7] starbird's,excellent [7] excellent,work [7] work,icwsm [7] icwsm,blumenthal's [7] blog,still [7] still,alternet [7] ah,emmibevensee [7] emmibevensee,al's Top Word Pairs in Tweet in G10:
[14] hyperpartisanship,disinformation [11] disinformation,political [11] political,conversations [11] conversations,twitter [10] twitter,brazilian [10] brazilian,presidential [9] paper,hyperpartisanship [7] detecting,troll [7] troll,behavior [7] behavior,inverse Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: