The graph represents a network of 839 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, 12 July 2020 at 01:26 UTC.
The requested start date was Sunday, 12 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 69-day, 2-hour, 12-minute period from Friday, 01 May 2020 at 15:04 UTC to Thursday, 09 July 2020 at 17:16 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 : 839
Unique Edges : 1290
Edges With Duplicates : 3005
Total Edges : 4295
Number of Edge Types : 5
Retweet : 910
MentionsInRetweet : 1826
Replies to : 226
Mentions : 1191
Tweet : 142
Self-Loops : 147
Reciprocated Vertex Pair Ratio : 0.0935530780416869
Reciprocated Edge Ratio : 0.171099290780142
Connected Components : 46
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 741
Maximum Edges in a Connected Component : 4196
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.138333
Graph Density : 0.00320872956497251
Modularity : 0.345706
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 839 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, 12 July 2020 at 01:26 UTC.
The requested start date was Sunday, 12 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 69-day, 2-hour, 12-minute period from Friday, 01 May 2020 at 15:04 UTC to Thursday, 09 July 2020 at 17:16 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:
[109] icwsm,2020 [74] social,media [44] web,social [42] please,join [42] conference,web [40] international,aaai [40] aaai,conference [38] icwsm,data [38] media,icwsm [38] 2020,online Top Word Pairs in Tweet in G1:
[33] icwsm,2020 [18] please,join [17] looking,forward [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:
[42] 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:
[35] bkeegan,saviaga [25] political,trolls [24] saviaga,saiphcita [24] saiphcita,icwsm [22] saviaga,icwsm [16] deep,dive [15] realtrumpshaker,bkeegan [14] strategies,political [14] trolls,use [14] use,mobilize Top Word Pairs in Tweet in G4:
[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 G5:
[16] icwsm,2020 [15] web,social [15] social,media [14] 2020,online [14] conference,web [14] media,icwsm [13] proceedings,fourteenth [13] fourteenth,international [13] international,aaai [13] aaai,conference Top Word Pairs in Tweet in G6:
[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 G7:
[23] tutorial,icwsm [12] stance,detection [12] detection,tutorial [12] icwsm,aldayelabeer [12] social,media [10] material,stance [10] aldayelabeer,walid_magdy [10] walid_magdy,available [9] kareem2darwish,material [7] tomorrow,presenting 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:
[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 G10:
[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 Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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