The graph represents a network of 496 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, 04 July 2020 at 16:53 UTC.
The requested start date was Saturday, 04 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 13-day, 18-hour, 43-minute period from Saturday, 20 June 2020 at 02:10 UTC to Friday, 03 July 2020 at 20:53 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 : 496
Unique Edges : 326
Edges With Duplicates : 559
Total Edges : 885
Number of Edge Types : 5
Tweet : 125
Mentions : 172
Retweet : 227
MentionsInRetweet : 310
Replies to : 51
Self-Loops : 140
Reciprocated Vertex Pair Ratio : 0.0142566191446029
Reciprocated Edge Ratio : 0.0281124497991968
Connected Components : 94
Single-Vertex Connected Components : 38
Maximum Vertices in a Connected Component : 145
Maximum Edges in a Connected Component : 241
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.026255
Graph Density : 0.00202834799608993
Modularity : 0.561361
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 496 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, 04 July 2020 at 16:53 UTC.
The requested start date was Saturday, 04 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 13-day, 18-hour, 43-minute period from Saturday, 20 June 2020 at 02:10 UTC to Friday, 03 July 2020 at 20:53 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:
[95] #buildthewall,#immigrationreform [91] lines,drawn [91] drawn,know [91] know,players [91] players,stand [91] stand,#alllivesmatter [91] #alllivesmatter,#buildthewall [90] gregmusselwhit3,lines [90] #immigrationreform,#2nd [33] immigration,reform Top Word Pairs in Tweet in G1:
[91] lines,drawn [91] drawn,know [91] know,players [91] players,stand [91] stand,#alllivesmatter [91] #alllivesmatter,#buildthewall [91] #buildthewall,#immigrationreform [90] gregmusselwhit3,lines [90] #immigrationreform,#2nd [4] republican,candidate Top Word Pairs in Tweet in G2:
[23] immigration,reform [22] house,fire [22] fire,invite [22] invite,people [22] people,come [22] come,live [22] live,immigration [22] reform,important [22] important,let's [22] let's,see Top Word Pairs in Tweet in G3:
[2] years,ago [2] potus,realdonaldtrump [2] realdonaldtrump,states [2] states,accurately [2] accurately,#wheelandwall [2] #wheelandwall,never [2] never,become [2] become,obsolete [2] obsolete,thedemocrats [2] thedemocrats,joebiden Top Word Pairs in Tweet in G4:
[10] antiques,ancestors [10] ancestors,gab [9] reformgab,#immigrationreform [9] #immigrationreform,#antiques [7] follow,re [7] re,re [7] re,tweet [7] tweet,immigration [7] immigration,reform [7] reform,news 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] 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 G7:
[3] #maga,#maga2020 [3] #maga2020,#kag [3] #kag,#buildthewall [3] #buildthewall,#immigrationreform [3] #immigrationreform,#gop [2] lindseygrahamsc,sen [2] sen,graham [2] graham,ready [2] ready,give [2] give,slave Top Word Pairs in Tweet in G8:
[2] amadorbettty,jacksonleetx18 [2] jacksonleetx18,gregabbott_tx [2] gregabbott_tx,realcandaceo [2] realcandaceo,charliekirk11 [2] charliekirk11,judgejeanine [2] judgejeanine,seanhannity [2] seanhannity,qmeup2 [2] qmeup2,lexmerica Top Word Pairs in Tweet in G9:
[15] juliereichwein1,#lauraloomer [15] #lauraloomer,#fl21 [15] #fl21,#m200 [15] #1a,#2a [14] #americafirst,#madeinamerica [14] #madeinamerica,#voteredtosaveamerica2020 [13] rnlynn1958,juliereichwein1 [9] #bordersecurity,#immigrationreform [8] #m200,#americafirst [8] #voteredtosaveamerica2020,#1a Top Word Pairs in Tweet in G10:
[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 Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: