The graph represents a network of 3,899 Twitter users whose recent tweets contained "#SeizeTheHotels", 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 Sunday, 21 February 2021 at 18:22 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 38-minute period from Saturday, 13 February 2021 at 20:11 UTC to Sunday, 21 February 2021 at 17:50 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 : 3899
Unique Edges : 10364
Edges With Duplicates : 8644
Total Edges : 19008
Number of Edge Types : 5
Retweet : 7954
Replies to : 414
Mentions : 1983
MentionsInRetweet : 8044
Tweet : 613
Self-Loops : 685
Reciprocated Vertex Pair Ratio : 0.00955249569707401
Reciprocated Edge Ratio : 0.0189242178842383
Connected Components : 246
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 3587
Maximum Edges in a Connected Component : 18664
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.642495
Graph Density : 0.000771862540960168
Modularity : 0.320038
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 3,899 Twitter users whose recent tweets contained "#SeizeTheHotels", 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 Sunday, 21 February 2021 at 18:22 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 38-minute period from Saturday, 13 February 2021 at 20:11 UTC to Sunday, 21 February 2021 at 17:50 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 : #SeizeTheHotels
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:
[2058] city,council [1632] hotel,rooms [1299] fema,money [1057] cd6nury,mayorofla [1021] free,fema [995] people,dying [958] house,thousands [731] council,cd6nury [713] fema,reimburse [698] council,gave Top Word Pairs in Tweet in G1:
[486] cd6nury,mayorofla [404] hotel,rooms [323] #1,trending [323] trending,topic [323] topic,angeles [319] 29,days [313] local,governments [313] rooms,during [304] commandeering,hotel [300] days,ago Top Word Pairs in Tweet in G2:
[582] hotel,rooms [491] city,council [395] house,thousands [343] council,cd6nury [338] cd6nury,act [336] people,#seizethehotels [335] act,urgently [335] thousands,people [320] funding,available [319] federal,funding Top Word Pairs in Tweet in G3:
[805] city,council [532] people,dying [463] hotel,rooms [407] fema,money [361] unhoused,angelenos [348] house,unhoused [344] each,day [339] cd6nury,mayorofla [330] free,fema [323] cd6nury,#seizethehotels Top Word Pairs in Tweet in G4:
[287] still,promising [287] promising,hotels [287] hotels,billion [287] billion,public [287] public,money [287] money,during [287] during,global [287] global,pandemic [287] pandemic,homelessness [287] homelessness,crisis Top Word Pairs in Tweet in G5:
[337] city,council [330] fema,money [318] free,fema [317] council,gave [308] money,house [307] subsidies,hotels [307] hotels,last [307] last,decade [307] houseless,those [307] those,hotels Top Word Pairs in Tweet in G6:
[16] private,property [10] #seizethehotels,trending [10] homeless,people [6] property,#seizethehotels [6] hunter,hunter [5] house,homeless [5] hotels,#seizethehotels [4] homeless,#seizethehotels [4] over,private [4] free,free Top Word Pairs in Tweet in G7:
[124] social,housing [110] prioritize,hotels [110] hotels,safe [110] safe,options [110] options,housing [110] housing,tiny [110] tiny,homes [110] homes,congregate [110] congregate,shelters [110] shelters,70 Top Word Pairs in Tweet in G8:
[34] #seizethehotels,trending [33] believe,#seizethehotels [33] trending,owned [33] owned,hotel [33] hotel,government [33] government,come [33] come,take [33] take,command [33] command,#raggedymuthafucka [33] #raggedymuthafucka,couldn Top Word Pairs in Tweet in G9:
[3] unhoused,people [2] #seizethehotels,campaign [2] campaign,coming [2] coming,angeles [2] angeles,national [2] national,call [2] call,use [2] use,federal [2] federal,funds [2] funds,unhoused Top Word Pairs in Tweet in G10:
[3] gsd7373,patsystoned2 [3] lzqueenya,mellemusic [3] mellemusic,cd6nury [3] people,dying [2] patsystoned2,lindseywillia20 [2] lindseywillia20,lzqueenya [2] cd6nury,taxes [2] taxes,subsidize [2] subsidize,vacant [2] vacant,hotels 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 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 G5:
Top Mentioned in G7:
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: