The graph represents a network of 802 Twitter users whose recent tweets contained "AspenInstitute", 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, 07 January 2022 at 17:00 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 52-minute period from Wednesday, 29 December 2021 at 21:41 UTC to Friday, 07 January 2022 at 16:33 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 : 826
Unique Edges : 1535
Edges With Duplicates : 2461
Total Edges : 3996
Number of Edge Types : 5
Mentions : 2576
Replies to : 329
Tweet : 101
MentionsInRetweet : 672
Retweet : 318
Self-Loops : 110
Reciprocated Vertex Pair Ratio : 0.0300051733057424
Reciprocated Edge Ratio : 0.0582621798091411
Connected Components : 22
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 695
Maximum Edges in a Connected Component : 2316
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.87177
Graph Density : 0.00292171105730428
Modularity : 0.398553
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 802 Twitter users whose recent tweets contained "AspenInstitute", 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, 07 January 2022 at 17:00 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 52-minute period from Wednesday, 29 December 2021 at 21:41 UTC to Friday, 07 January 2022 at 16:33 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 : AspenInstitute
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:
[321] betterup,aspeninstitute [181] brigantia__,betterup [130] spreading,misinformation [124] customer,base [123] online,gang [121] #princewilliam's,brother [121] brother,supporting [121] supporting,spreading [121] misinformation,online [121] gang,customer Top Word Pairs in Tweet in G1:
[317] betterup,aspeninstitute [179] brigantia__,betterup [123] spreading,misinformation [121] online,gang [120] customer,base [119] #princewilliam's,brother [119] brother,supporting [119] supporting,spreading [119] misinformation,online [119] gang,customer Top Word Pairs in Tweet in G2:
[14] aspeninstitute,weavetheppl [6] weavetheppl,weaving_us [5] thegarlandsitin,jhu_sapp [4] bmorebloc,bmorer4j [4] bmorer4j,gkmcbmore [4] gkmcbmore,btubaltimore [4] btubaltimore,aspeninstitute [4] weaving_us,sheilaruthd44b [4] sheilaruthd44b,whoaty711 [4] whoaty711,stinnett_41st Top Word Pairs in Tweet in G3:
[13] climate,crisis [13] part,society [13] education,sector [11] take,action [8] stop,climate [8] crisis,part [8] society,needs [8] needs,take [8] action,commission [8] commission,spent Top Word Pairs in Tweet in G4:
[31] plindseyusa,thinks_about_it [31] thinks_about_it,trapezoidschme [31] trapezoidschme,shicks_sam [31] shicks_sam,barbarajdurkin [31] barbarajdurkin,robbbie_strange [31] robbbie_strange,keillerdon [31] martinjbern,ibergwiesel [31] ibergwiesel,keeper_86 [31] keeper_86,kctaz [31] kctaz,dan613 Top Word Pairs in Tweet in G5:
[9] sussex,squad [8] rjmyers,another [8] another,day [8] day,failure [8] failure,anti [8] anti,royalists [8] royalists,sussex [8] squad,lied [8] lied,queen [8] queen,covering Top Word Pairs in Tweet in G6:
[7] conway_maureen,aspenworkforce [7] aspenworkforce,mccarthyedwork [7] mccarthyedwork,newamerica [7] newamerica,akcamardelle [7] akcamardelle,jointcenter [7] jointcenter,provide [7] provide,few [7] center,excellence [4] #jobquality,racial [4] racial,gender Top Word Pairs in Tweet in G7:
[20] learn,more [11] inclusive,economy [8] public,private [8] more,inclusive [8] economy,follow [8] follow,learn [7] apie,aspeninstitute [7] connecting,global [7] each,city [7] city,#startup Top Word Pairs in Tweet in G8:
[5] exelon,troweprice [5] troweprice,aspeninstitute [5] aspeninstitute,underarmour [5] underarmour,lbhealth [5] lbhealth,amazon [5] amazon,fedex [5] fedex,deloitte [5] deloitte,rofoarena [5] rofoarena,mandt_bank [5] mandt_bank,ravens Top Word Pairs in Tweet in G10:
[5] sbagov,cityofsanjose [4] excited,aspeninstitute [4] aspeninstitute,aspenpolicyhub [4] aspenpolicyhub,fellow [4] fellow,grateful [4] grateful,scale [4] scale,learnings [4] learnings,serving [4] serving,sbagov [4] cityofsanjose,during Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: