The graph represents a network of 888 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, 26 July 2020 at 01:28 UTC.
The requested start date was Sunday, 26 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 84-day, 2-hour, 23-minute period from Friday, 01 May 2020 at 15:04 UTC to Friday, 24 July 2020 at 17:28 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 : 888
Unique Edges : 1326
Edges With Duplicates : 3134
Total Edges : 4460
Number of Edge Types : 5
Retweet : 959
MentionsInRetweet : 1896
Replies to : 234
Mentions : 1226
Tweet : 145
Self-Loops : 150
Reciprocated Vertex Pair Ratio : 0.0958840037418148
Reciprocated Edge Ratio : 0.174989329918907
Connected Components : 49
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 784
Maximum Edges in a Connected Component : 4357
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.171419
Graph Density : 0.00297464883146958
Modularity : 0.345244
NodeXL Version : 1.0.1.438
Data Import : The graph represents a network of 888 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, 26 July 2020 at 01:28 UTC.
The requested start date was Sunday, 26 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 84-day, 2-hour, 23-minute period from Friday, 01 May 2020 at 15:04 UTC to Friday, 24 July 2020 at 17:28 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:
[110] icwsm,2020 [85] social,media [45] web,social [43] conference,web [42] please,join [41] international,aaai [41] aaai,conference [39] icwsm,data [39] media,icwsm [38] 2020,online Top Word Pairs in Tweet in G1:
[33] icwsm,2020 [25] social,media [18] please,join [17] happy,share [17] share,paper [17] paper,members [17] members,csoda_psu [17] csoda_psu,conference [17] conference,proceedings [17] proceedings,icwsm Top Word Pairs in Tweet in G2:
[40] icwsm,2020 [28] kwstantinos90,a_papasavva [24] disturbed,youtube [24] youtube,kids [24] kids,characterizing [24] targeting,young [24] young,children [23] attending,#icwsm2020 [23] characterizing,detecting [23] detecting,inappropriate Top Word Pairs in Tweet in G3:
[28] social,media [23] tutorial,icwsm [21] icwsm,2020 [19] web,social [18] 2020,online [18] conference,web [18] media,icwsm [17] proceedings,fourteenth [17] fourteenth,international [17] international,aaai Top Word Pairs in Tweet in G4:
[35] bkeegan,saviaga [27] political,trolls [25] saviaga,saiphcita [25] saiphcita,icwsm [22] saviaga,icwsm [17] deep,dive [15] strategies,political [15] trolls,use [15] use,mobilize [15] mobilize,citizens Top Word Pairs in Tweet in G5:
[15] research,track [14] good,luck [13] reminder,applied [13] applied,research [13] research,resource [13] resource,tracks [13] tracks,shifting [13] shifting,dates [13] dates,those [13] those,#knowledgemanagement Top Word Pairs in Tweet in G6:
[8] paper,icwsm [8] cossard_ale,icwsm [7] generating,realistic [7] realistic,interest [7] interest,driven [7] driven,information [7] information,cascades [7] cascades,paper [7] icwsm,federico [7] great,presentation 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] blumenthal's,blog [8] gave,talk [8] talk,#icwsm [8] #icwsm,ai [8] ai,conference [8] conference,paper [8] paper,smat [8] smat,jhblackb [8] jhblackb,maxzzze [7] course,starbird's Top Word Pairs in Tweet in G9:
[9] social,media [7] media,research [7] ethics,workshop [6] today,kick [6] kick,icwsm [6] icwsm,holding [6] holding,#dataispeople [6] #dataispeople,social [6] research,ethics [6] workshop,over Top Word Pairs in Tweet in G10:
[7] multi,lingual [6] icwsm,2020 [5] upcoming,icwsm [5] 2020,paper [5] paper,arxiv [5] arxiv,present [5] present,political [5] political,memes [5] memes,transcend [5] transcend,indian Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
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: