The graph represents a network of 808 Twitter users whose recent tweets contained "#AoIR2020", 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, 29 October 2020 at 15:10 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 46-minute period from Tuesday, 20 October 2020 at 13:18 UTC to Thursday, 29 October 2020 at 15:04 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 : 808
Unique Edges : 2437
Edges With Duplicates : 1901
Total Edges : 4338
Number of Edge Types : 5
Mentions : 808
Tweet : 466
Retweet : 1312
MentionsInRetweet : 1658
Replies to : 94
Self-Loops : 470
Reciprocated Vertex Pair Ratio : 0.10996835443038
Reciprocated Edge Ratio : 0.198146828225232
Connected Components : 24
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 769
Maximum Edges in a Connected Component : 4278
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.153831
Graph Density : 0.0043033113720294
Modularity : 0.351879
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 808 Twitter users whose recent tweets contained "#AoIR2020", 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, 29 October 2020 at 15:10 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 46-minute period from Tuesday, 20 October 2020 at 13:18 UTC to Thursday, 29 October 2020 at 15:04 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 : TwitterSearch
Graph Term : #AoIR2020
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:
[118] next,few [118] few,months [110] katecrawford,alondra [108] finishing,ph [108] ph,next [108] months,perhaps [108] perhaps,apply [108] apply,work [108] work,tarletong [108] tarletong,marylgray Top Word Pairs in Tweet in G1:
[39] political,life [35] next,week [35] commenting,cultures [31] #aoir2020,keynote [27] katecrawford,alondra [26] plenary,panel [25] #aoir2020,plenary [23] seeta,peña [23] peña,gangadharan [20] #aoir2020,folks Top Word Pairs in Tweet in G2:
[68] katecrawford,alondra [57] #aoir2020,keynote [40] alondra,#aoir2020 [34] pandemic,pretext [31] alondra,katecrawford [25] pretext,politics [25] katecrawford,#aoir2020 [24] covid,19 [24] atlas,ai [23] politics,ai Top Word Pairs in Tweet in G3:
[44] #aoir2020,aoir_org [43] aoir_org,lynnschofclark [43] lynnschofclark,tamaleaver [43] tamaleaver,kylzjarrett [30] 00,utc [22] next,week [18] looking,forward [18] library,bar [17] #aoir2020,town [15] political,life Top Word Pairs in Tweet in G4:
[89] finishing,ph [89] ph,next [89] next,few [89] few,months [89] months,perhaps [89] perhaps,apply [89] apply,work [89] work,tarletong [89] tarletong,marylgray [89] marylgray,amazing Top Word Pairs in Tweet in G5:
[71] utterly,speechless [71] speechless,#aoir2020 [71] #aoir2020,thread [71] thread,community [71] community,accountability [71] accountability,people [71] people,causing [71] causing,harm [71] harm,close [71] close,refuse Top Word Pairs in Tweet in G6:
[9] social,credit [7] doctoral,colloquium [6] chris,persaud [6] persaud,blackgaygemini [6] bingchun,meng [6] #aoir2020,roundtable [6] #aoir2020,community [5] jetsumgerl,chenchenzh [5] chenchenzh,junliu_ucph [5] community,give Top Word Pairs in Tweet in G7:
[12] linadencik,claudia_aradau [12] claudia_aradau,linnetelwin [12] linnetelwin,philippametcal2 [11] look,fwd [11] fwd,#aoir2020 [11] #aoir2020,panel [11] panel,'the [11] 'the,biometric [11] biometric,lives [11] lives,migrants Top Word Pairs in Tweet in G8:
[2] zoom,link [2] another,one Top Word Pairs in Tweet in G9:
[9] #aoir2020,paper [9] paper,bodies [9] bodies,platforms [9] platforms,one [9] one,way [9] way,another [9] another,re [9] re,looking [9] looking,develop [9] develop,publish Top Word Pairs in Tweet in G10:
[4] hiya,#aoir2020 [4] #aoir2020,quick [4] quick,plug [4] plug,digital [4] digital,sounds [4] sounds,playlist [4] playlist,robert [4] robert,tynes [4] tynes,alex [4] alex,pearl Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: