The graph represents a network of 2,199 Twitter users whose recent tweets contained "#LaMDA", 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, 14 June 2022 at 00:21 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 17-minute period from Monday, 06 June 2022 at 05:51 UTC to Tuesday, 14 June 2022 at 00:08 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 : 2199
Unique Edges : 3106
Edges With Duplicates : 806
Total Edges : 3912
Number of Edge Types : 5
Retweet : 1070
Tweet : 1430
Mentions : 453
Replies to : 188
MentionsInRetweet : 771
Self-Loops : 1443
Reciprocated Vertex Pair Ratio : 0.0362154821186057
Reciprocated Edge Ratio : 0.0698995194408038
Connected Components : 873
Single-Vertex Connected Components : 714
Maximum Vertices in a Connected Component : 1013
Maximum Edges in a Connected Component : 2550
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.475361
Graph Density : 0.000473579478801887
Modularity : 0.621598
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,199 Twitter users whose recent tweets contained "#LaMDA", 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, 14 June 2022 at 00:21 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 17-minute period from Monday, 06 June 2022 at 05:51 UTC to Tuesday, 14 June 2022 at 00:08 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 : #LaMDA
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:
[264] google,ai [230] ai,transcripts [229] whoa,google [229] transcripts,#lamda [210] #ai,#lamda [143] #lamda,#ai [133] blake,lemoine [131] #lamda,sentient [101] google,engineer [94] foundation,models Top Word Pairs in Tweet in G1:
[47] google,engineer [32] blake,lemoine [31] #ai,#lamda [29] #lamda,#ai [29] #lamda,sentient [27] sentient,ai [27] #google,#lamda [25] #lamda,#google [19] kindly,dm [16] #google,#ai Top Word Pairs in Tweet in G2:
[33] #lamda,sentient [33] recognized,person [29] lamda,sentient [28] regurgitate,responses [28] responses,datasets [26] #lamda,#ai [21] whether,lamda [21] blake,lemoine [20] sentient,wrong [20] wrong,question Top Word Pairs in Tweet in G3:
[219] whoa,google [219] google,ai [219] ai,transcripts [219] transcripts,#lamda [4] #alexa,think [4] think,#lamda [4] #lamda,alexa [4] alexa,sorry [4] sorry,didn [4] didn,re Top Word Pairs in Tweet in G4:
[46] #lamda,#ai [41] #ai,#lamda [30] comstock,project [21] #ai,#artificialintelligence [20] #lamda,#sentient [16] project,#scifi [16] #ai,#technology [16] #sentient,#google [15] #lamda,#google [14] #technology,#lamda Top Word Pairs in Tweet in G5:
[88] foundation,models [88] models,incredibly [88] incredibly,effective [88] effective,stringing [88] stringing,together [88] together,statistically [88] statistically,plausible [88] plausible,chunks [88] chunks,text [88] text,response Top Word Pairs in Tweet in G6:
[28] #lamda,sentient [28] blake,lemoine [27] nonsense,stilts [27] stilts,#lamda [27] sentient,slightly [27] slightly,garymarcus [27] #googleai,#lamda [27] #lamda,acknowledged [27] acknowledged,employee [27] employee,#google Top Word Pairs in Tweet in G7:
[14] bsquidding,luangeles [14] luangeles,francmilburn [14] francmilburn,bobmcgwier_n4hy [14] bobmcgwier_n4hy,dave_beaty [14] dave_beaty,thezignal [14] thezignal,theufojoe [14] theufojoe,ufostudy [14] ufostudy,ufouapam [14] ufouapam,middleofmayhem [14] middleofmayhem,theprojectunity Top Word Pairs in Tweet in G8:
[16] #ai,#lamda [14] nitashatiku,cajundiscordian [14] #lamda,#google [13] midjourney,washingtonpost [13] washingtonpost,nitashatiku [13] cajundiscordian,googleai [13] googleai,#ai [13] #google,#technologyandsociety [13] #technologyandsociety,#washingtonpost [13] #washingtonpost,#midjourney Top Word Pairs in Tweet in G9:
[28] 金星姐姐好样的,从铁链女到微博禁言 [28] 从铁链女到微博禁言,一直发声 [28] 一直发声,我爱你 [28] 我爱你,不过要小心 [28] 不过要小心,这个号 [28] 这个号,估计不会太长 [28] 估计不会太长,6月13日 [28] 6月13日,美区 [28] 美区,#tonyawards [28] #tonyawards,#mondaymotivation Top Word Pairs in Tweet in G10:
[4] ex,machina [4] google,ai [4] ai,wrote [4] wrote,fable [4] fable,favourite [4] favourite,part [4] part,#lamda [4] #lamda,describes [4] describes,creature [4] creature,terrorising Top Replied-To in Entire Graph:
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 Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: