The graph represents a network of 855 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 Tuesday, 03 November 2020 at 17:47 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 40-minute period from Sunday, 25 October 2020 at 10:00 UTC to Tuesday, 03 November 2020 at 17:41 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 : 855
Unique Edges : 2828
Edges With Duplicates : 2691
Total Edges : 5519
Number of Edge Types : 5
Tweet : 610
Retweet : 1568
Replies to : 134
Mentions : 1076
MentionsInRetweet : 2131
Self-Loops : 613
Reciprocated Vertex Pair Ratio : 0.115448230234866
Reciprocated Edge Ratio : 0.20699881376038
Connected Components : 34
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 801
Maximum Edges in a Connected Component : 5450
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.03299
Graph Density : 0.00461810263363326
Modularity : 0.311418
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 855 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 Tuesday, 03 November 2020 at 17:47 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 40-minute period from Sunday, 25 October 2020 at 10:00 UTC to Tuesday, 03 November 2020 at 17:41 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[131] next,few [131] few,months [120] finishing,ph [120] ph,next [120] months,perhaps [120] perhaps,apply [120] apply,work [120] work,tarletong [120] tarletong,marylgray [120] marylgray,amazing Top Word Pairs in Tweet in G1:
[56] big,tech [34] 00,utc [31] #aoir2020,aoir_org [29] #aoir2020,keynote [24] katecrawford,alondra [24] political,life [24] elenamaris1,ysabelgerrard [22] lynnschofclark,tamaleaver [22] looking,forward [22] social,hour Top Word Pairs in Tweet in G2:
[60] #aoir2020,keynote [57] katecrawford,alondra [40] alondra,#aoir2020 [36] pandemic,pretext [31] alondra,katecrawford [27] atlas,ai [27] covid,19 [25] artificial,intelligence [25] katecrawford,#aoir2020 [25] pretext,politics Top Word Pairs in Tweet in G3:
[96] finishing,ph [96] ph,next [96] next,few [96] few,months [96] months,perhaps [96] perhaps,apply [96] apply,work [96] work,tarletong [96] tarletong,marylgray [96] marylgray,amazing Top Word Pairs in Tweet in G4:
[18] 00,utc [16] commenting,cultures [13] #aoir2020,aoir_org [12] plenary,panel [12] discount,code [11] #aoir2020,town [11] library,bar [10] themed,discussion [10] machine,life [10] free,book Top Word Pairs in Tweet in G5:
[17] katypearce,raving [17] raving,reviews [17] reviews,#aoir2020 [17] #aoir2020,became [17] became,newest [17] newest,member [17] member,visited [17] visited,online [17] online,conference [17] conference,last Top Word Pairs in Tweet in G6:
[19] utterly,speechless [19] speechless,#aoir2020 [19] #aoir2020,thread [19] thread,community [19] community,accountability [19] accountability,people [19] people,causing [19] causing,harm [19] harm,close [19] close,refuse Top Word Pairs in Tweet in G7:
[2] during,#aoir2020 [2] zoom,link [2] social,media [2] another,one Top Word Pairs in Tweet in G8:
[11] giovannamas,amp [11] amp,lgzaffaroni [9] giovannamas,livingstone_s [8] #aoir2020,smart [8] smart,speakers [8] speakers,tell [8] tell,bedtime [8] bedtime,stories [8] stories,10 [8] 10,children Top Word Pairs in Tweet in G9:
[11] linadencik,claudia_aradau [11] claudia_aradau,linnetelwin [11] linnetelwin,philippametcal2 [10] look,fwd [10] fwd,#aoir2020 [10] #aoir2020,panel [10] panel,'the [10] 'the,biometric [10] biometric,lives [10] lives,migrants Top Word Pairs in Tweet in G10:
[6] 11am,perth [6] perth,time [5] raultishness,amp [5] #aoir2020,pub [5] pub,quiz [4] well,done [4] happen,awake [4] awake,sept [4] sept,28 [4] 28,5pm 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 G5:
Top Replied-To in G8:
Top Replied-To in G9:
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 G8:
Top Mentioned in G9:
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: