The graph represents a network of 543 Twitter users whose recent tweets contained "interpreting language", 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 Friday, 22 November 2019 at 07:23 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 54-minute period from Wednesday, 13 November 2019 at 04:12 UTC to Friday, 22 November 2019 at 07:06 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 : 545
Unique Edges : 757
Edges With Duplicates : 365
Total Edges : 1122
Number of Edge Types : 4
Mentions : 403
Replies to : 255
Retweet : 240
Tweet : 224
Self-Loops : 226
Reciprocated Vertex Pair Ratio : 0,0793893129770992
Reciprocated Edge Ratio : 0,147100424328147
Connected Components : 179
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 53
Maximum Edges in a Connected Component : 146
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2,1077
Graph Density : 0,00238464651915812
Modularity : 0,63046
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 543 Twitter users whose recent tweets contained "interpreting language", 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 Friday, 22 November 2019 at 07:23 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 54-minute period from Wednesday, 13 November 2019 at 04:12 UTC to Friday, 22 November 2019 at 07:06 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 : interpreting language
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:
[136] sign,language [97] language,interpreting [32] body,language [32] english,language [31] interpreting,tv [28] tv,amp [28] amp,media [28] repdougcollins,realdonaldtrump [27] lrihendry,repdougcollins [27] realdonaldtrump,living Top Word Pairs in Tweet in G1:
[18] sign,language [11] body,language [11] interpreting,services [10] natural,language [10] language,interpreting [9] language,processing [5] interpreting,body [5] translation,interpreting [4] interpreting,improving [4] improving,natural Top Word Pairs in Tweet in G2:
[18] language,interpreting [17] sign,language [15] master,class [15] judy,jenner [15] jenner,language_news [14] january,24 [14] two,hour [12] attend,live [12] live,listen [12] listen,recording Top Word Pairs in Tweet in G3:
[28] repdougcollins,realdonaldtrump [27] lrihendry,repdougcollins [27] realdonaldtrump,living [27] living,bizarre [27] bizarre,literal [27] literal,words [27] words,english [27] english,language [27] language,means [27] means,whatever Top Word Pairs in Tweet in G4:
[20] garda,síochána [20] síochána,sign [20] sign,language [20] language,interpreting [20] interpreting,service [20] service,slis [20] slis,launch [20] launch,pilot [20] pilot,scheme [20] scheme,deaf Top Word Pairs in Tweet in G5:
[17] easing,back [17] back,pain [17] pain,interpreting [17] interpreting,sign [17] sign,language [17] language,proptotypes [17] proptotypes,developed [17] developed,#graphene [17] #graphene,hackathon [17] hackathon,last Top Word Pairs in Tweet in G6:
[12] british,sign [12] sign,language [12] language,interpreting [11] delighted,publishing [11] publishing,executive [11] executive,summary [11] summary,recommendations [11] recommendations,landscape [11] landscape,review [11] review,british Top Word Pairs in Tweet in G7:
[13] speak,english [13] english,another [13] another,language [13] language,use [13] use,skills [13] skills,train [13] train,become [13] become,community [13] community,interpreter [13] interpreter,wea Top Word Pairs in Tweet in G8:
[20] sign,language [20] language,interpreting [20] interpreting,tv [19] tv,amp [19] amp,media [10] #slitv19,#tv1ntsl2019 [10] #tv1ntsl2019,#1ntsl [9] #slitv19,#1ntsl [7] seminar,sign [7] media,seminar Top Word Pairs in Tweet in G9:
[9] alexijielu,yes [9] yes,interpreting [9] interpreting,replacement [9] replacement,captioning [9] captioning,please [9] please,don [9] don,question [9] question,deaf [9] deaf,hard [9] hard,hearing Top Word Pairs in Tweet in G10:
[18] non,verbal [9] confusing,name [9] name,non [9] verbal,learning [9] learning,disorder [9] disorder,sounds [9] sounds,person [9] person,speak [9] speak,quite [9] quite,opposite Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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 G5:
Top Mentioned in G6:
Top Mentioned in G8:
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: