The graph represents a network of 3,967 Twitter users whose recent tweets contained "list:cspan/members-of-congress", 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 Friday, 29 November 2019 at 12:55 UTC.
The tweets in the network were tweeted over the 9-day, 8-hour, 46-minute period from Wednesday, 20 November 2019 at 02:48 UTC to Friday, 29 November 2019 at 11:34 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 : 3967
Unique Edges : 8929
Edges With Duplicates : 12044
Total Edges : 20973
Number of Edge Types : 4
Mentions : 10160
Retweet : 3441
Replies to : 468
Tweet : 6904
Self-Loops : 6964
Reciprocated Vertex Pair Ratio : 0.118912426293951
Reciprocated Edge Ratio : 0.212550014638431
Connected Components : 20
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 3927
Maximum Edges in a Connected Component : 20851
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 4.164216
Graph Density : 0.000651301121290485
Modularity : 0.322683
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,967 Twitter users whose recent tweets contained "list:cspan/members-of-congress", 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 Friday, 29 November 2019 at 12:55 UTC.
The tweets in the network were tweeted over the 9-day, 8-hour, 46-minute period from Wednesday, 20 November 2019 at 02:48 UTC to Friday, 29 November 2019 at 11:34 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 : list:cspan/members-of-congress
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:
[364] president,trump [320] white,house [316] pro,quo [316] happy,thanksgiving [313] quid,pro [307] health,care [302] american,people [210] hong,kong [210] impeachment,inquiry [190] ambassador,sondland Top Word Pairs in Tweet in G1:
[198] white,house [146] president,trump [103] pro,quo [99] quid,pro [93] fiona,hill [89] impeachment,inquiry [87] ambassador,sondland [79] american,people [78] health,care [72] violence,women Top Word Pairs in Tweet in G2:
[170] american,people [168] quid,pro [166] pro,quo [144] president,trump [110] happy,thanksgiving [84] ambassador,sondland [78] impeachment,inquiry [71] adam,schiff [63] aid,ukraine [63] speaker,pelosi Top Word Pairs in Tweet in G3:
[88] health,care [65] hong,kong [43] happy,thanksgiving [33] human,rights [32] climate,change [31] president,trump [28] violence,women [27] trump,administration [26] health,insurance [24] raise,awareness Top Word Pairs in Tweet in G4:
[21] korean,war [20] happy,thanksgiving [13] mental,health [12] war,veterans [11] office,hours [11] health,care [11] town,hall [11] #va07,healthcare [11] prescription,drug [11] healthcare,tour Top Word Pairs in Tweet in G5:
[23] public,lands [12] happy,thanksgiving [11] domestic,violence [10] clean,energy [10] central,coast [10] coast,heritage [10] heritage,protection [9] puerto,rico [9] fossil,fuel [8] lands,rivers Top Word Pairs in Tweet in G6:
[17] carbon,capture [13] online,privacy [9] pro,quo [8] health,care [8] privacy,rights [7] quid,pro [7] climate,change [7] rule,law [7] ranking,senatorcantwell [7] weather,modeling Top Word Pairs in Tweet in G7:
[10] purple,heart [9] happy,thanksgiving [7] climate,change [7] congress,american [6] american,people [5] justice,center [5] central,illinois [5] president,trump [5] costs,debt [5] heart,flag Top Word Pairs in Tweet in G8:
[14] town,hall [12] health,care [10] san,antonio [8] political,rival [7] bad,precedent [6] workplace,violence [6] president,foreign [6] investigate,political [6] precedent,set [6] set,american Top Word Pairs in Tweet in G9:
[10] health,care [10] north,carolina [9] mental,health [8] happy,thanksgiving [6] law,enforcement [6] violence,women [6] hong,kong [6] maine,people [5] servicemembers,families [4] missing,murdered Top Word Pairs in Tweet in G10:
[14] hong,kong [12] national,park [11] suburban,caucus [11] hampton,roads [10] health,care [9] sen,hawley [7] task,force [6] human,rights [6] impeachment,inquiry [5] force,chairs Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: