The graph represents a network of 471 Twitter users whose tweets in the requested range contained "#ImmigrationReform", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 11 July 2020 at 16:53 UTC.
The requested start date was Saturday, 11 July 2020 at 00:01 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 12-day, 18-hour, 51-minute period from Saturday, 27 June 2020 at 01:56 UTC to Thursday, 09 July 2020 at 20:48 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 : 471
Unique Edges : 256
Edges With Duplicates : 572
Total Edges : 828
Number of Edge Types : 5
Replies to : 39
Mentions : 118
Tweet : 109
Retweet : 247
MentionsInRetweet : 315
Self-Loops : 117
Reciprocated Vertex Pair Ratio : 0.0136986301369863
Reciprocated Edge Ratio : 0.027027027027027
Connected Components : 99
Single-Vertex Connected Components : 40
Maximum Vertices in a Connected Component : 62
Maximum Edges in a Connected Component : 134
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 1.931229
Graph Density : 0.002005691828161
Modularity : 0.547533
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 471 Twitter users whose tweets in the requested range contained "#ImmigrationReform", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 11 July 2020 at 16:53 UTC.
The requested start date was Saturday, 11 July 2020 at 00:01 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 12-day, 18-hour, 51-minute period from Saturday, 27 June 2020 at 01:56 UTC to Thursday, 09 July 2020 at 20:48 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 : #ImmigrationReform
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:
[70] #buildthewall,#immigrationreform [66] lines,drawn [66] drawn,know [66] know,players [66] players,stand [66] stand,#alllivesmatter [66] #alllivesmatter,#buildthewall [65] gregmusselwhit3,lines [44] #immigrationreform,#2nd [41] 'woke',admit Top Word Pairs in Tweet in G1:
[66] lines,drawn [66] drawn,know [66] know,players [66] players,stand [66] stand,#alllivesmatter [66] #alllivesmatter,#buildthewall [66] #buildthewall,#immigrationreform [65] gregmusselwhit3,lines [44] #immigrationreform,#2nd [21] #immigrationreform,#2ndâ Top Word Pairs in Tweet in G2:
[41] 'woke',admit [41] admit,mass [41] mass,immigration [41] immigration,plays [41] plays,critical [41] critical,role [41] role,housing [41] housing,crisis [41] crisis,ˆ [40] migrationwatch,'woke' Top Word Pairs in Tweet in G3:
[14] support,#immigrationreform [14] #immigrationreform,#noamnesty [14] #noamnesty,#securetheborder [14] #securetheborder,#immigration [14] #immigration,#makedclisten [14] #makedclisten,#pjnet [14] #pjnet,#redmeat [14] #redmeat,#tcot [9] immigration,reform [8] #immigration,#immigrationreform Top Word Pairs in Tweet in G4:
[22] #lauraloomer,#fl21 [22] #fl21,#m200 [19] rnlynn1958,juliereichwein1 [16] #1a,#2a [15] juliereichwein1,#lauraloomer [14] #americafirst,#madeinamerica [14] #madeinamerica,#voteredtosaveamerica2020 [9] #bordersecurity,#immigrationreform [8] #immigrationreform,#voterid [8] #m200,#americafirst Top Word Pairs in Tweet in G5:
[2] serremmy,noah33 [2] noah33,tod1776 [2] tod1776,sla1500 [2] sla1500,me_suits [2] me_suits,ronmolina [2] ronmolina,dawnegurl [2] dawnegurl,michael2_t [2] michael2_t,scrotiemcp [2] scrotiemcp,lynnmagoo [2] lynnmagoo,usa1calling Top Word Pairs in Tweet in G6:
[21] eligible,work [21] work,uk [21] uk,under [21] under,points [21] points,based [21] based,immigration [21] immigration,system [21] system,#immigration [21] #immigration,#lawyers [21] #lawyers,#reform Top Word Pairs in Tweet in G7:
[21] shouldn,take [21] take,pandemic [21] pandemic,protect [21] protect,innocent [21] innocent,children [21] children,need [21] need,comprehensive [21] comprehensive,#immigrationreform [20] jenfl23,shouldn Top Word Pairs in Tweet in G8:
[16] ruling,removes [16] removes,unjust [16] unjust,barrier [16] barrier,security [16] security,make [16] make,mistake [16] mistake,means [16] means,asylum [16] asylum,seekers [15] susan36495963,ruling Top Word Pairs in Tweet in G9:
[2] annpartrump2020,janettxblessed [2] janettxblessed,anniegethergun [2] anniegethergun,jeffmctn1 [2] jeffmctn1,ettetrump [2] ettetrump,wvwalker1 [2] wvwalker1,jennifer_in_ozy [2] jennifer_in_ozy,lologberg Top Word Pairs in Tweet in G10:
[11] immigration,reform [11] reform,news [11] news,gab [10] gab,twitter [6] follow,re [6] re,re [6] reformgab,#immigrationreform [6] tomorrow,live [6] live,signed [6] signed,oswald Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
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: