The graph represents a network of 125 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, 15 August 2020 at 05:35 UTC.
The requested start date was Saturday, 15 August 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 74-day, 4-hour, 21-minute period from Monday, 01 June 2020 at 13:24 UTC to Friday, 14 August 2020 at 17:45 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 : 125
Unique Edges : 85
Edges With Duplicates : 472
Total Edges : 557
Number of Edge Types : 5
Replies to : 33
Mentions : 42
Tweet : 435
Retweet : 24
MentionsInRetweet : 23
Self-Loops : 438
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 42
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 37
Maximum Edges in a Connected Component : 217
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.376388
Graph Density : 0.00541935483870968
Modularity : 0.176864
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 125 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, 15 August 2020 at 05:35 UTC.
The requested start date was Saturday, 15 August 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 74-day, 4-hour, 21-minute period from Monday, 01 June 2020 at 13:24 UTC to Friday, 14 August 2020 at 17:45 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:
[164] social,media [87] looking,social [87] media,manager [84] hello,looking [77] manager,need [77] need,manage [77] manage,social [66] media,please [63] please,visit [39] #linkedin,#linkedinchat Top Word Pairs in Tweet in G1:
[95] social,media [53] looking,social [53] media,manager [51] hello,looking [44] manager,need [44] need,manage [44] manage,social [35] please,visit [34] media,please [10] visit,#facebook Top Word Pairs in Tweet in G2:
[4] #linkedin,#linkedinchat [4] increase,business [3] social,media [2] linkedin,marketing [2] #linkedinchat,#linkedin [2] professional,#linkedinmarketer [2] #linkedinmarketer,#linkedin [2] #linkedin,#marketer [2] #marketer,#businesstips [2] #businesstips,#page Top Word Pairs in Tweet in G3:
[45] social,media [23] looking,social [23] media,manager [22] hello,looking [22] manager,need [22] need,manage [22] manage,social [21] media,please [17] please,visit [5] visit,#facebook Top Word Pairs in Tweet in G5:
[12] weekly,tues [12] edt,slot [11] thank,joining [11] joining,#linkedinchat [11] wanted,know [11] know,appreciate [10] welcome,#linkedinchat [10] #linkedinchat,weekly [9] #linkedinchat,wanted [7] tues,30pm Top Word Pairs in Tweet in G7:
[6] 92,followers [6] followers,#linkedin [6] #linkedin,make [6] make,100 [6] 100,today [6] today,#twitteam [6] #twitteam,#linkedinchat [5] nwrhygiene,92 Top Word Pairs in Tweet in G8:
[5] pm,linkedin [4] forget,join [4] join,#exclusive [4] #exclusive,#linkedinchat [3] join,#linkedinchat [3] 03,04 [3] 04,pm [3] linkedin,visit [3] #technology,#cpoinnovation [3] few,hours Top Word Pairs in Tweet in G9:
[3] know,state [3] state,#autonomousvehices [3] #autonomousvehices,click [3] click,link [3] link,join [3] join,#linkedinchat [3] #linkedinchat,10am [3] 10am,pt [3] pt,19 [3] 19,cest Top Word Pairs in Tweet in G10:
[20] social,media [10] hello,looking [10] looking,social [10] media,manager [10] manager,need [10] need,manage [10] manage,social [10] media,please [10] please,visit [3] visit,#facebook Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
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: