The graph represents a network of 4,283 Twitter users whose tweets in the requested range contained "#SocialMedia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 14 August 2022 at 15:12 UTC.
The requested start date was Sunday, 14 August 2022 at 00:01 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 2-day, 4-hour, 49-minute period from Thursday, 11 August 2022 at 19:11 UTC to Sunday, 14 August 2022 at 00:00 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 : 4283
Unique Edges : 2519
Edges With Duplicates : 9627
Total Edges : 12146
Number of Edge Types : 5
Retweet : 2842
MentionsInRetweet : 3199
Tweet : 4413
Mentions : 1590
Replies to : 102
Self-Loops : 4625
Reciprocated Vertex Pair Ratio : 0.0181869054280918
Reciprocated Edge Ratio : 0.0357241000274801
Connected Components : 1357
Single-Vertex Connected Components : 875
Maximum Vertices in a Connected Component : 1181
Maximum Edges in a Connected Component : 6537
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.236792
Graph Density : 0.000198420855705889
Modularity : 0.33771
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 4,283 Twitter users whose tweets in the requested range contained "#SocialMedia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 14 August 2022 at 15:12 UTC.
The requested start date was Sunday, 14 August 2022 at 00:01 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 2-day, 4-hour, 49-minute period from Thursday, 11 August 2022 at 19:11 UTC to Sunday, 14 August 2022 at 00:00 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 : #SocialMedia
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:
[1645] #deal,#gift [1517] #doge,#deal [1508] #tiktok,#doge [1353] #dogecoin,#socialmedia [1281] #twitter,#facebook [1240] #socialmedia,#tiktok [1207] #shop,#shopping [1207] #affiliatemarketing,#ad [1205] #shopping,#affiliatemarketing [864] social,media Top Word Pairs in Tweet in G1:
[302] social,media [79] #socialmedia,#srudukfollow [71] #socialmedia,#socialmediamarketing [61] media,marketing [53] #socialmedia,#marketing [49] #jfb,#socialmedia [46] marketing,digital [42] curso,mais [42] mais,completo [42] completo,social Top Word Pairs in Tweet in G2:
[453] freecity_os,mobile [453] mobile,app [453] app,launching [453] launching,soon [453] soon,#socialmedia [453] #socialmedia,#nfts [453] #nfts,#crypto [453] #crypto,freecity [452] freecity_os,freecity_os [452] freecity,# Top Word Pairs in Tweet in G3:
[108] social,media [12] #snrtg,#socialmedia [12] #socialmedia,#socialmedianews [12] #socialmedia,#marketing [10] trolls,tend [10] tend,subclinical [10] subclinical,sadism [10] sadism,#research [10] #research,suggests [10] suggests,learn Top Word Pairs in Tweet in G4:
[69] chidambara09,#healthtech [69] #healthtech,#datascientist [69] #datascientist,#csuite [69] #csuite,#digitalhealth [69] #digitalhealth,#web3 [69] #web3,#cx [69] #cx,#ehealth [69] #ehealth,#finserv [69] #finserv,#cloud [69] #cloud,#insurtech Top Word Pairs in Tweet in G5:
[234] #healthtech,#datascientist [234] #datascientist,#csuite [234] #csuite,#digitalhealth [234] #digitalhealth,#web3 [234] #web3,#cx [234] #cx,#ehealth [234] #ehealth,#finserv [234] #finserv,#cloud [234] #cloud,#insurtech [127] #ai,#iot Top Word Pairs in Tweet in G6:
[1642] #deal,#gift [1514] #doge,#deal [1505] #tiktok,#doge [1350] #dogecoin,#socialmedia [1273] #twitter,#facebook [1233] #socialmedia,#tiktok [1207] #shop,#shopping [1207] #affiliatemarketing,#ad [1205] #shopping,#affiliatemarketing [857] #gift,#gifts Top Word Pairs in Tweet in G7:
[8] those,understand [8] understand,people [8] people,harass [8] harass,threaten [8] threaten,black [8] black,women [8] women,promoted [8] promoted,twitter [8] twitter,social [7] ironwynch,those Top Word Pairs in Tweet in G8:
[7] families,lost [7] lost,children [7] children,#fentanyl [7] #fentanyl,pills [7] pills,selling [7] selling,widely [7] widely,#socialmedia [7] #socialmedia,apps [7] apps,#snapchat [7] #snapchat,#instagram Top Word Pairs in Tweet in G9:
[43] #rakshabandhan,#hoist [43] #hoist,#tiranga [43] #tiranga,#brothersister [43] #brothersister,#border [43] #border,those [43] those,#protecting [43] #protecting,#nation [43] #nation,visit [42] skodineya,#rakshabandhan [40] #eway,#bill Top Word Pairs in Tweet in G10:
[7] understand,life [7] life,way [7] way,started [7] started,quit [7] quit,talking [7] talking,begin [7] begin,doing [7] doing,#goals [7] #goals,#author [7] #author,#writingcommunity Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G10:
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 Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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: