The graph represents a network of 1,300 Twitter users whose recent tweets contained "#visitRWC OR "Redwood City"", 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 Thursday, 15 April 2021 at 19:09 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 37-minute period from Wednesday, 07 April 2021 at 15:26 UTC to Thursday, 15 April 2021 at 19:04 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 : 1300
Unique Edges : 1456
Edges With Duplicates : 1008
Total Edges : 2464
Number of Edge Types : 5
Retweet : 792
MentionsInRetweet : 253
Tweet : 1089
Replies to : 86
Mentions : 244
Self-Loops : 1095
Reciprocated Vertex Pair Ratio : 0.00918836140888208
Reciprocated Edge Ratio : 0.0182094081942337
Connected Components : 256
Single-Vertex Connected Components : 151
Maximum Vertices in a Connected Component : 496
Maximum Edges in a Connected Component : 499
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 2.486605
Graph Density : 0.000780482027595192
Modularity : 0.524842
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,300 Twitter users whose recent tweets contained "#visitRWC OR "Redwood City"", 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 Thursday, 15 April 2021 at 19:09 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 37-minute period from Wednesday, 07 April 2021 at 15:26 UTC to Thursday, 15 April 2021 at 19:04 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 : #visitRWC OR "Redwood City"
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:
[1941] redwood,city [537] edelman,grew [499] grew,redwood [489] remains,bizarre [489] bizarre,edelman [489] city,10 [489] 10,miles [489] miles,tom [489] tom,brady's [489] brady's,childhood Top Word Pairs in Tweet in G1:
[492] redwood,city [488] remains,bizarre [488] bizarre,edelman [488] edelman,grew [488] grew,redwood [488] city,10 [488] 10,miles [488] miles,tom [488] tom,brady's [488] brady's,childhood Top Word Pairs in Tweet in G2:
[639] redwood,city [327] 15,15 [241] 15,cp [116] city,ca [116] 15,14 [112] 100,15 [106] 14,15 [86] 97,15 [77] 14,cp [61] ca,san Top Word Pairs in Tweet in G3:
[4] palo,alto [2] nojay8,civildiscourse7 [2] civildiscourse7,ronnilaurie [2] ronnilaurie,squadthen [2] squadthen,kristyshl [2] kristyshl,ldog562 [2] ldog562,thomoneil1 [2] thomoneil1,zazzybritches [2] zazzybritches,impinkestgirl [2] impinkestgirl,doug_in_nc Top Word Pairs in Tweet in G4:
[56] redwood,city [15] chavez,supermarket [15] supermarket,history [15] history,being [15] being,anti [15] anti,union [15] union,latinx [15] latinx,private [15] private,business [15] business,pro Top Word Pairs in Tweet in G5:
[2] prubesa,network_gal [2] network_gal,pattikimble [2] pattikimble,perrigoat [2] perrigoat,chawksrun [2] chawksrun,norened39766667 [2] norened39766667,dorismelmore1 [2] dorismelmore1,glennvotesblue [2] glennvotesblue,itridpm [2] itridpm,gregdemarco1964 [2] gregdemarco1964,jonmesser7 Top Word Pairs in Tweet in G6:
[24] redwood,city [16] city,salt [16] salt,ponds [14] greenfoothills,bayrefuge [8] environmental,groups [8] groups,hail [8] hail,decision [8] decision,cargill [8] appeal,ruling [8] ruling,protects Top Word Pairs in Tweet in G7:
[30] redwood,city [8] 12,san [8] san,mateo [8] 13,redwood [8] 14,east [8] east,palo [8] palo,alto [8] 15,daly [8] daly,city [6] community,meeting Top Word Pairs in Tweet in G8:
[72] jerry,rice [36] julian,edelman [36] edelman,grew [36] grew,bay [36] bay,idolized [36] idolized,jerry [36] rice,49ers [36] 49ers,dated [36] dated,jerry [36] jerry,daughter Top Word Pairs in Tweet in G9:
[27] car,dealership [27] dealership,264 [27] 264,homes [27] homes,redwood [27] redwood,city [27] city,california [27] california,2008 [27] 2008,2019 Top Word Pairs in Tweet in G10:
[54] redwood,city [36] darkhorse,based [36] based,redwood [36] city,developing [36] developing,software [36] software,artificial [36] artificial,intelligence [36] intelligence,hopes [36] hopes,change [36] change,recruiting Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: