The graph represents a network of 2,458 Twitter users whose recent tweets contained "#immigration", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 2,000 tweets. The network was obtained from Twitter on Wednesday, 16 September 2020 at 21:00 UTC.
The tweets in the network were tweeted over the 23-hour, 57-minute period from Tuesday, 15 September 2020 at 20:54 UTC to Wednesday, 16 September 2020 at 20:52 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 : 2458
Unique Edges : 3500
Edges With Duplicates : 1250
Total Edges : 4750
Number of Edge Types : 5
MentionsInRetweet : 1389
Mentions : 1249
Retweet : 1270
Replies to : 350
Tweet : 492
Self-Loops : 532
Reciprocated Vertex Pair Ratio : 0.0815893236275402
Reciprocated Edge Ratio : 0.15086932136848
Connected Components : 474
Single-Vertex Connected Components : 245
Maximum Vertices in a Connected Component : 539
Maximum Edges in a Connected Component : 2141
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.443899
Graph Density : 0.000590465195835416
Modularity : 0.652989
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,458 Twitter users whose recent tweets contained "#immigration", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 2,000 tweets. The network was obtained from Twitter on Wednesday, 16 September 2020 at 21:00 UTC.
The tweets in the network were tweeted over the 23-hour, 57-minute period from Tuesday, 15 September 2020 at 20:54 UTC to Wednesday, 16 September 2020 at 20:52 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 : #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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[300] #immigration,#visa [269] #quiz,#yaxisquiz [269] #yaxisquiz,#win [269] #win,#immigration [269] #visa,#yaxis [269] #yaxis,#indianmigrants [268] #indianmigrants,#migration [268] #migration,#migrateabroad [266] #contestalert,#quiz [266] #migrateabroad,#overseascareers Top Word Pairs in Tweet in G1:
[194] #quiz,#yaxisquiz [194] #yaxisquiz,#win [194] #win,#immigration [194] #immigration,#visa [194] #visa,#yaxis [194] #yaxis,#indianmigrants [194] #indianmigrants,#migration [194] #migration,#migrateabroad [194] #migrateabroad,#overseascareers [192] #contestalert,#quiz Top Word Pairs in Tweet in G2:
[11] #immigration,#immigrants [11] express,entry [9] #immigration,#visa [9] #canada,#immigration [8] read,more [6] #immigration,#canada [6] changes,#immigration [5] #ice,#immigration [5] learn,more [5] #immigration,#update Top Word Pairs in Tweet in G3:
[234] pleine,crise [234] crise,#covid [234] #covid,alors [234] alors,entreprises [234] entreprises,risquent [234] risquent,devoir [234] devoir,licencier [234] licencier,massivement [234] massivement,entraînant [234] entraînant,nombreux Top Word Pairs in Tweet in G4:
[115] #immigration,lawyer [115] lawyer,know [115] know,everything [115] everything,designed [115] designed,end [115] end,immigration [115] immigration,removing [115] removing,humanity [115] humanity,system [115] system,#crueltyisthepoint Top Word Pairs in Tweet in G5:
[22] #contestalert,#quiz [22] #quiz,#yaxisquiz [22] #yaxisquiz,#win [22] #win,#immigration [22] #immigration,#visa [22] #visa,#yaxis [22] #yaxis,#indianmigrants [22] #indianmigrants,#migration [22] #migration,#migrateabroad [21] #migrateabroad,#overseascareers Top Word Pairs in Tweet in G6:
[75] peruvian,woman [75] woman,worked [75] worked,live [75] live,nanny [75] nanny,toronto [75] toronto,family [75] family,nearly [75] nearly,years [75] years,another [75] another,chance Top Word Pairs in Tweet in G7:
[8] #immigration,policies [6] developing,#trade [6] #trade,#immigration [6] policies,put [6] put,working [6] working,americans [6] americans,first [6] first,realdonaldtrump [6] realdonaldtrump,become [6] become,candidate Top Word Pairs in Tweet in G8:
[72] hearing,man [72] man,kicked [72] kicked,campaign [72] campaign,calling [72] calling,mexicans [72] mexicans,rapists [72] rapists,drug [72] drug,dealers [72] dealers,latinos [72] latinos,slap Top Word Pairs in Tweet in G9:
[35] #whistleblower,complaint [35] complaint,trump [35] trump,officials [35] officials,hid [35] hid,proven [35] proven,facts [35] facts,substituted [35] substituted,lies [35] lies,justify [35] justify,#immigration Top Word Pairs in Tweet in G10:
[32] detention,center [27] 173,members [26] investigation,allegations [22] repjayapal,repjerrynadler [22] repjerrynadler,repzoelofgren [22] repzoelofgren,repjudychu [22] repjudychu,173 [22] members,call [22] call,dhsoig [22] dhsoig,investigation Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 G7:
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: