The graph represents a network of 135 Twitter users whose tweets in the requested range contained "#LinkedInChat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 24 October 2020 at 05:31 UTC.
The requested start date was Saturday, 24 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 79-day, 5-hour, 41-minute period from Wednesday, 05 August 2020 at 00:30 UTC to Friday, 23 October 2020 at 06:12 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 : 135
Unique Edges : 124
Edges With Duplicates : 350
Total Edges : 474
Number of Edge Types : 5
Mentions : 72
Retweet : 24
MentionsInRetweet : 39
Tweet : 298
Replies to : 41
Self-Loops : 301
Reciprocated Vertex Pair Ratio : 0.0708661417322835
Reciprocated Edge Ratio : 0.132352941176471
Connected Components : 26
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 46
Maximum Edges in a Connected Component : 175
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.387401
Graph Density : 0.00751796572692095
Modularity : 0.267302
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 135 Twitter users whose tweets in the requested range contained "#LinkedInChat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 24 October 2020 at 05:31 UTC.
The requested start date was Saturday, 24 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 79-day, 5-hour, 41-minute period from Wednesday, 05 August 2020 at 00:30 UTC to Friday, 23 October 2020 at 06:12 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 : #LinkedInChat
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:
[228] social,media [121] looking,social [121] media,manager [117] hello,looking [107] manager,need [107] need,manage [107] manage,social [92] media,please [88] please,visit [37] visit,#facebook Top Word Pairs in Tweet in G1:
[29] transformation,technology [28] #linkedinchat,transformation [28] technology,risk [26] risk,changing [26] today,oct [23] changing,financial [22] financial,services [20] services,landscape [18] oct,16 [18] 16,2020 Top Word Pairs in Tweet in G2:
[121] social,media [68] looking,social [68] media,manager [65] hello,looking [55] manager,need [55] need,manage [55] manage,social [45] please,visit [44] media,please [16] visit,#facebook Top Word Pairs in Tweet in G3:
[73] social,media [37] looking,social [37] media,manager [36] hello,looking [36] manager,need [36] need,manage [36] manage,social [32] media,please [27] please,visit [12] visit,#facebook Top Word Pairs in Tweet in G4:
[4] increase,business [3] social,media [2] #digitalmarketing,#onlinemarketing [2] business,linkedin [2] linkedin,big [2] big,platfrom [2] platfrom,increase Top Word Pairs in Tweet in G6:
[2] linkedin,profile [2] think,linkedin [2] linkedin,overestimating [2] overestimating,desire [2] desire,challenging [2] challenging,position [2] position,seriously [2] seriously,tiktok_us [2] tiktok_us,monetization [2] monetization,strategy Top Word Pairs in Tweet in G8:
[6] linkedin,optimization [6] optimization,training [6] training,venue [6] venue,closed [6] closed,facebook [6] facebook,group [6] group,registration [6] registration,link [6] link,date [5] opportunities90,linkedin Top Word Pairs in Tweet in G9:
[2] cpoinnovation,join [2] join,kapilmehrotra [2] kapilmehrotra,group [2] group,cto [2] cto,ncmlin [2] ncmlin,#linkedinchat [2] #linkedinchat,transformation [2] transformation,technology [2] technology,risk [2] risk,changing Top Word Pairs in Tweet in G10:
[31] #linkedin,#linkedinchat [11] use,#linkedin [11] questions,tips [11] #linkedin,future [10] tips,related [9] related,topic [8] ourselves,slack [8] future,#linkedinchat [8] #linkedin,#shamelessplug [8] research,#linkedin Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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: