The graph represents a network of 713 Twitter users whose tweets in the requested range contained "#AsianLivesMatter", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 28 November 2021 at 00:30 UTC.
The requested start date was Saturday, 27 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 9-hour, 34-minute period from Saturday, 13 November 2021 at 04:55 UTC to Friday, 26 November 2021 at 14:30 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 : 713
Unique Edges : 302
Edges With Duplicates : 1167
Total Edges : 1469
Number of Edge Types : 5
Tweet : 198
MentionsInRetweet : 567
Replies to : 77
Mentions : 108
Retweet : 519
Self-Loops : 227
Reciprocated Vertex Pair Ratio : 0.00596125186289121
Reciprocated Edge Ratio : 0.0118518518518519
Connected Components : 120
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 405
Maximum Edges in a Connected Component : 848
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.320996
Graph Density : 0.00132964054399042
Modularity : 0.453664
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 713 Twitter users whose tweets in the requested range contained "#AsianLivesMatter", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 28 November 2021 at 00:30 UTC.
The requested start date was Saturday, 27 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 9-hour, 34-minute period from Saturday, 13 November 2021 at 04:55 UTC to Friday, 26 November 2021 at 14:30 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 : #AsianLivesMatter
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:
[222] #asianlivesmatter,america [221] america,under [221] under,kamala [219] aartitikoo,#asianlivesmatter [76] #wtpblue,#blm [72] #blm,#demvoice1 [56] #latinolivesmatter,#asianlivesmatter [55] #philadelphia,septa [55] septa,police [55] police,brutal Top Word Pairs in Tweet in G1:
[219] #asianlivesmatter,america [218] america,under [218] under,kamala [217] aartitikoo,#asianlivesmatter Top Word Pairs in Tweet in G2:
[37] restrained',yuhwei [37] yuhwei,chou [37] chou,36 [37] 36,accused [37] accused,killing [37] killing,two [37] two,kids [37] kids,found [37] found,dead [37] dead,car Top Word Pairs in Tweet in G3:
[4] #asianlivesmatter,#blacklivesmatter [3] #asianlivesmatter,#blm [3] #blacklivesmatter,#asianlivesmatter [3] #blm,#asianlivesmatter [3] #students,#asugsv [3] #asugsv,#undergraduate [2] #asianlivesmatter,#stopasianhatecrimes [2] matter,#asianlivesmatter [2] #blm,#blacklivesmatter [2] #blacklivesmatter,#indigenouslivesmatter Top Word Pairs in Tweet in G4:
[54] #philadelphia,septa [54] septa,police [54] police,brutal [54] brutal,attack [54] attack,against [54] against,four [54] four,asian [54] asian,teenagers [54] teenagers,subway [54] subway,yesterday Top Word Pairs in Tweet in G5:
[76] #wtpblue,#blm [72] #blm,#demvoice1 [56] #latinolivesmatter,#asianlivesmatter [52] #demvoice1,#americans [52] #blacklivesmatter,#latinolivesmatter [49] #asianlivesmatter,#nativelivesmatter [46] #blm,#blacklivesmatter [44] #americans,#onev1 [44] #onev1,#freshresists [42] #freshresists,#freshvoicesrise Top Word Pairs in Tweet in G6:
[21] talking,whats [21] whats,happening [21] happening,america [21] america,potus [21] potus,#asianlivesmatter [20] the_pinakee,talking [2] nytimes,washingtonpost [2] washingtonpost,wsj [2] wsj,talking [2] talking,potus Top Word Pairs in Tweet in G8:
[25] #asianlivesmatter,#notohomophobia [24] worthy4yourlove,#lgbtqlivesmatter [24] #lgbtqlivesmatter,#asianlivesmatter [24] #notohomophobia,#translivesmatter [12] mem_reddog,worthy4yourlove [4] worthy4yourlove,#lgbtqialivesmatter [3] #lgbtqialivesmatter,#asianlivesmatter [3] #asianlivesmatter,#translivesmatter [3] #translivesmatter,#notohomophobia [3] papajim2u,worthy4yourlove Top Word Pairs in Tweet in G9:
[5] #asians,being [5] being,attacked [5] attacked,#america [5] #america,apparently [5] apparently,#blacklivesmatter [5] #blacklivesmatter,#asianlivesmatter [5] #asianlivesmatter,asean [4] tricolour_first,#asians [4] asean,drsj Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: