The graph represents a network of 4,996 Twitter users whose recent tweets contained ""@ABlinken"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Monday, 23 November 2020 at 16:19 UTC.
The tweets in the network were tweeted over the 1-hour, 53-minute period from Monday, 23 November 2020 at 14:25 UTC to Monday, 23 November 2020 at 16:19 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 : 4996
Unique Edges : 11048
Edges With Duplicates : 3229
Total Edges : 14277
Self-Loops : 31
Reciprocated Vertex Pair Ratio : 0.00452973151045956
Reciprocated Edge Ratio : 0.00901861113388538
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 4996
Maximum Edges in a Connected Component : 14277
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.235984
Graph Density : 0.000488759375869064
Modularity : 0.433483
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,996 Twitter users whose recent tweets contained ""@ABlinken"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Monday, 23 November 2020 at 16:19 UTC.
The tweets in the network were tweeted over the 1-hour, 53-minute period from Monday, 23 November 2020 at 14:25 UTC to Monday, 23 November 2020 at 16:19 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 : "@ABlinken"
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Relationship
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in G2:
[808] god,bless [807] bless,america [805] samuel,pisar [788] secretary,state [788] tony,blinken [788] next,secretary [788] b,173 [786] america,god [786] ellington,lifted [786] lifted,hatch Top Word Pairs in Tweet in G3:
[1704] secretary,state [1697] competence,decency [848] career,professionals [846] ablinken,dear [841] state,#gotony [841] dear,friend [840] friend,close [840] close,colleague [839] colleague,over [839] over,25 Top Word Pairs in Tweet in G4:
[222] secretary,state [112] more,qualified [112] worked,closely [111] closely,ablinken [111] ablinken,five [110] five,years [110] years,obama [110] obama,administration [110] administration,known [110] known,decades Top Word Pairs in Tweet in G5:
[194] linda,thomas [115] thomas,greenfield [114] michele,flournoy [114] flournoy,secdef [114] secdef,ablinken [114] ablinken,secstate [114] greenfield,un [114] un,ambassador [114] joebiden,senkamalaharris [114] reports,true Top Word Pairs in Tweet in G6:
[339] secretary,state [339] state,ablinken [237] grover,sesamestreet [237] love,video [237] video,joebiden [237] joebiden,s [237] s,pick [237] pick,secretary [194] ablinken,explaining [176] explaining,un Top Word Pairs in Tweet in G7:
[102] failed,prevent [93] prevent,horrific [87] horrific,loss [82] loss,life [82] life,failed [82] prevent,massive [82] massive,displacement [82] displacement,something [82] something,take [82] take,rest Top Word Pairs in Tweet in G8:
[40] ablinken,french [20] anybody,curious [20] curious,here [20] here,ablinken [20] french,tv [20] tv,evening [20] evening,news [20] news,back [20] back,2016 [20] 2016,went Top Word Pairs in Tweet in G9:
[14] financialtimes,ablinken [13] forty,years [13] years,ago [13] ago,graduated [13] graduated,high [13] high,school [13] school,ablinken [13] ablinken,s [13] s,looks [13] looks,barely Top Word Pairs in Tweet in G10:
[10] ablinken,laments [8] laments,failures [8] failures,trump [8] trump,s [8] s,administration [8] administration,s [8] s,guaidó [8] guaidó,coup [8] coup,strategy [8] strategy,still 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: