The graph represents a network of 5,558 Twitter users whose tweets in the requested range contained "KQED", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 04 December 2020 at 00:48 UTC.
The requested start date was Thursday, 03 December 2020 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, 23-hour, 31-minute period from Thursday, 19 November 2020 at 01:29 UTC to Thursday, 03 December 2020 at 01:01 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 : 5558
Unique Edges : 3938
Edges With Duplicates : 11870
Total Edges : 15808
Number of Edge Types : 5
Mentions : 2923
Retweet : 4554
MentionsInRetweet : 6020
Replies to : 617
Tweet : 1694
Self-Loops : 1733
Reciprocated Vertex Pair Ratio : 0.0344925077749505
Reciprocated Edge Ratio : 0.0666848865810331
Connected Components : 876
Single-Vertex Connected Components : 591
Maximum Vertices in a Connected Component : 4036
Maximum Edges in a Connected Component : 13815
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.8042
Graph Density : 0.00023693731677263
Modularity : 0.400197
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,558 Twitter users whose tweets in the requested range contained "KQED", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 04 December 2020 at 00:48 UTC.
The requested start date was Thursday, 03 December 2020 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, 23-hour, 31-minute period from Thursday, 19 November 2020 at 01:29 UTC to Thursday, 03 December 2020 at 01:01 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 : KQED
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:
[327] bay,area [241] content,knowledge [222] covid,19 [206] san,francisco [185] mindshiftkqed,many [175] mental,health [149] many,students [130] heavy,amounts [128] mindshiftkqed,human [123] make,sure Top Word Pairs in Tweet in G1:
[182] mindshiftkqed,many [146] many,students [126] mindshiftkqed,human [122] heavy,amounts [118] mental,health [106] having,one [106] one,friend [106] friend,make [106] make,big [106] big,difference Top Word Pairs in Tweet in G2:
[150] bay,area [71] san,francisco [51] 15,people [51] project,roomkey [48] roomkey,hotels [48] permanent,housing [46] filipino,nurses [45] nurses,make [45] make,nurses [45] nurses,third Top Word Pairs in Tweet in G3:
[53] help,students [50] school,friendships [29] friendships,online [28] tips,cultivating [28] cultivating,healthy [28] healthy,school [27] mindshift,kqed [26] students,teachers [25] covid,19 [25] pre,dawn Top Word Pairs in Tweet in G4:
[83] bay,area [72] prison,officials [65] incarcerated,firefighter [65] firefighter,fought [65] fought,six [65] six,major [65] major,wildfires [65] wildfires,california [65] california,season [65] season,prison Top Word Pairs in Tweet in G5:
[49] san,francisco [48] bay,area [41] eritrean,community [41] community,south [41] south,berkeley [32] muslim,eritrean [30] spirit,deal [26] years,ago [26] kqedarts,spirit [21] tight,knit Top Word Pairs in Tweet in G6:
[36] 1b,visa [35] high,skilled [34] facts,1b [34] visa,program [34] program,cheap [34] cheap,labor [34] labor,program [34] program,masquerading [34] masquerading,high [34] skilled,program Top Word Pairs in Tweet in G7:
[9] sfchronicle,dominicfracassa [8] dominicfracassa,usao_ndca [8] nbcbayarea,kpixtv [7] cnn,cnnbrk [7] cnnbrk,cnni [7] kpixtv,ktvu [7] kcbsradio,kgodesk [7] mindshiftkqed,kqed [6] voting,rights [6] rights,timeline Top Word Pairs in Tweet in G8:
[27] workshop,12 [23] video,projects [23] hr,workshop [20] help,students [20] media,making [19] students,connect [19] making,skills [19] instructor,led [18] course,starts [18] 11,30 Top Word Pairs in Tweet in G9:
[233] content,knowledge [115] kids,think [115] think,critically [115] critically,first [115] first,make [115] make,sure [115] sure,fundamental [115] fundamental,content [115] knowledge,content [114] p_a_kirschner,kids Top Word Pairs in Tweet in G10:
[60] health,care [60] care,workers [59] here's,hour [59] hour,long [59] long,interview [59] interview,recent [59] recent,stories [59] stories,health [59] workers,burning [59] burning,great 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:
Top Tweeters in G1:
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Top Tweeters in G10: