The graph represents a network of 801 Twitter users whose tweets in the requested range contained "knightfdn", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 21 November 2021 at 22:02 UTC.
The requested start date was Sunday, 21 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 51-minute period from Sunday, 07 November 2021 at 01:44 UTC to Sunday, 21 November 2021 at 00:35 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 : 801
Unique Edges : 1255
Edges With Duplicates : 1314
Total Edges : 2569
Number of Edge Types : 5
Retweet : 337
MentionsInRetweet : 973
Mentions : 1158
Replies to : 92
Tweet : 9
Self-Loops : 18
Reciprocated Vertex Pair Ratio : 0.0642424242424242
Reciprocated Edge Ratio : 0.120728929384966
Connected Components : 5
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 797
Maximum Edges in a Connected Component : 2565
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.223388
Graph Density : 0.00274032459425718
Modularity : 0.506523
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 801 Twitter users whose tweets in the requested range contained "knightfdn", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 21 November 2021 at 22:02 UTC.
The requested start date was Sunday, 21 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 51-minute period from Sunday, 07 November 2021 at 01:44 UTC to Sunday, 21 November 2021 at 00:35 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 : knightfdn
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:
[39] dpla,knightfdn [29] working,together [28] surgeon_general,dpla [28] stopping,#healthmisinformation [28] #healthmisinformation,require [28] require,working [28] together,release [28] release,#communitytoolkit [27] surgeon_general,stopping [23] local,news Top Word Pairs in Tweet in G1:
[20] third,battle [20] battle,open [20] open,internet [20] internet,tough [20] tough,battle [20] battle,knightfdn [20] knightfdn,asked [20] asked,internetarchive [19] creativecommons,third [16] north,beach Top Word Pairs in Tweet in G2:
[38] dpla,knightfdn [28] surgeon_general,dpla [28] stopping,#healthmisinformation [28] #healthmisinformation,require [28] require,working [28] working,together [28] together,release [28] release,#communitytoolkit [27] surgeon_general,stopping [22] health,misinformation Top Word Pairs in Tweet in G3:
[22] place,driving [22] driving,equity [17] kresgefdn,williampennfdn [16] thejpbfdn,knightfdn [14] knightfdn,kresgefdn [10] equity,nextcityorg [8] miss,last [8] last,week's [8] week's,webinar [8] webinar,place Top Word Pairs in Tweet in G4:
[6] knightfdn,lenfestinst [6] googlenewsinit,knightfdn [4] reportinghealth,icfj [4] icfj,earthjournalism [4] earthjournalism,ejcnet [4] ejcnet,knightfdn [4] lenfestinst,googlenewsinit [4] next,challenge [4] challenge,media [4] media,journalism Top Word Pairs in Tweet in G5:
[9] miamiheat,knightfdn [8] early,giving [8] miamifoundation,#givemiamiday [8] sponsors,partners [6] giving,open [6] open,big [6] big,thanks [6] thanks,miamifoundation [6] #givemiamiday,sponsors [6] partners,miamiheat Top Word Pairs in Tweet in G6:
[7] ve,spectacular [7] spectacular,poetry [7] poetry,programming [7] programming,happening [7] happening,throughout [7] throughout,#mbf2021 [7] #mbf2021,thanks [7] thanks,knightfdn [7] knightfdn,gcdmiami [6] miamibookfair,ve Top Word Pairs in Tweet in G7:
[15] pollytrott,repdwightevans [15] repdwightevans,penndotnews [15] penndotnews,nicetowncdc [15] nicetowncdc,pcdc_events [15] pcdc_events,knightfdn [14] thank,usdot [14] usdot,deputy [14] deputy,secretary [14] secretary,pollytrott [13] phillyotis,thank Top Word Pairs in Tweet in G8:
[3] anpbolivia,reporta [3] reporta,agresión [3] agresión,verbal [3] verbal,funcionario [3] funcionario,contra [3] contra,periodista [3] periodista,grupoeldeber [3] grupoeldeber,vdsorg [3] cómo,fueron [3] fueron,siete Top Word Pairs in Tweet in G9:
[2] something,special [2] special,happening [2] happening,minnesota [2] minnesota,moving [2] moving,speed [2] speed,relationships [2] relationships,fullstackstp Top Word Pairs in Tweet in G10:
[8] we've,hard [8] hard,work [8] work,defending [8] defending,newcanaanite [8] newcanaanite,part [8] part,local [8] local,news [8] news,initiative [8] initiative,read [8] read,more Top Replied-To in Entire Graph:
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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: