The graph represents a network of 4,709 Twitter users whose tweets in the requested range contained "#Immigration", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 December 2019 at 04:22 UTC.
The requested start date was Monday, 16 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 21-hour, 32-minute period from Wednesday, 11 December 2019 at 13:50 UTC to Saturday, 14 December 2019 at 11:23 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 : 4709
Unique Edges : 5543
Edges With Duplicates : 1507
Total Edges : 7050
Number of Edge Types : 3
Tweet : 1330
Mentions : 5543
Replies to : 177
Self-Loops : 1330
Reciprocated Vertex Pair Ratio : 0.0152701644479248
Reciprocated Edge Ratio : 0.0300809872734285
Connected Components : 969
Single-Vertex Connected Components : 519
Maximum Vertices in a Connected Component : 2463
Maximum Edges in a Connected Component : 4159
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.191902
Graph Density : 0.000233920006755083
Modularity : 0.740971
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 4,709 Twitter users whose tweets in the requested range contained "#Immigration", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 December 2019 at 04:22 UTC.
The requested start date was Monday, 16 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 21-hour, 32-minute period from Wednesday, 11 December 2019 at 13:50 UTC to Saturday, 14 December 2019 at 11:23 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 : #Immigration
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:
[269] ed,miles [269] miles,hansen [269] hansen,president [269] president,ceo [269] ceo,wtcutah [269] wtcutah,signatory [269] signatory,#utahcompact [269] #utahcompact,#immigration [269] #immigration,calling [268] newamericanecon,ed Top Word Pairs in Tweet in G1:
[181] qu'est,ce [181] c'est,cmt [181] cmt,détruire [180] #quebec,#canada [180] #canada,préfigurent [180] préfigurent,notre [180] notre,avenir [180] avenir,sont [180] sont,notre [180] notre,présent Top Word Pairs in Tweet in G2:
[25] search,law [25] law,firms [25] #divorce,#personalinjury [25] #personalinjury,#wills [25] #wills,#realestate [25] #realestate,#dui [25] #dui,#immigration [25] #immigration,#commerciallaw [25] #commerciallaw,more [20] #immigration,#familylaw Top Word Pairs in Tweet in G3:
[268] ed,miles [268] miles,hansen [268] hansen,president [268] president,ceo [268] ceo,wtcutah [268] wtcutah,signatory [268] signatory,#utahcompact [268] #utahcompact,#immigration [268] #immigration,calling [267] newamericanecon,ed Top Word Pairs in Tweet in G4:
[175] allons,mettre [175] mettre,oeuvre [175] oeuvre,#brexit [175] #brexit,d'ici [175] d'ici,31 [175] 31,janvier [175] janvier,mais [175] mais,allons [167] borisjohnson,allons [165] alertesinfosusa,borisjohnson Top Word Pairs in Tweet in G5:
[88] flu,killed [88] killed,three [88] three,children [88] children,detained [88] detained,ice [88] ice,separated [88] separated,parents [88] parents,locked [88] locked,denied [88] denied,medical Top Word Pairs in Tweet in G6:
[63] anoncassi,#justice [58] illegal,alien [54] #justice,sacramento [54] sacramento,ca [54] ca,#voteaquí [54] #voteaquí,illegal [54] alien,residing [54] residing,1992 [54] 1992,sentenced [54] sentenced,aggravated Top Word Pairs in Tweet in G7:
[159] personal,news [159] news,migrantfreedom [159] migrantfreedom,suing [159] suing,ice [159] ice,worked [159] worked,#oitnb [159] #oitnb,provide [159] provide,accurate [159] accurate,portrayal [158] christinafialho,personal Top Word Pairs in Tweet in G8:
[16] ils,passent [16] passent,leur [16] leur,temps [16] temps,enduire [16] enduire,moraline [16] moraline,là [16] là,éviter [16] éviter,avoir [16] avoir,migrants [16] migrants,donne Top Word Pairs in Tweet in G9:
[55] matter,live [55] live,safety [55] safety,impacted [55] impacted,criminal [55] criminal,aliens [55] aliens,came [55] came,country [55] country,illegally [55] illegally,icegov [55] icegov,acting Top Word Pairs in Tweet in G10:
[42] acting,ice [42] ice,director [42] director,matthew [42] matthew,albence [42] albence,agency [42] agency,handle [42] handle,#daca [42] #daca,recipients [42] recipients,#scotus [42] #scotus,strike Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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 G6:
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: