The graph represents a network of 18 Twitter users whose recent tweets contained "#SocBizExchange", 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 Tuesday, 26 November 2019 at 13:32 UTC.
The tweets in the network were tweeted over the 7-day, 1-hour, 37-minute period from Tuesday, 19 November 2019 at 11:05 UTC to Tuesday, 26 November 2019 at 12:43 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 : 18
Unique Edges : 45
Edges With Duplicates : 113
Total Edges : 158
Self-Loops : 17
Reciprocated Vertex Pair Ratio : 0.103448275862069
Reciprocated Edge Ratio : 0.1875
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 18
Maximum Edges in a Connected Component : 158
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.604938
Graph Density : 0.209150326797386
Modularity : 0.154012
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 18 Twitter users whose recent tweets contained "#SocBizExchange", 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 Tuesday, 26 November 2019 at 13:32 UTC.
The tweets in the network were tweeted over the 7-day, 1-hour, 37-minute period from Tuesday, 19 November 2019 at 11:05 UTC to Tuesday, 26 November 2019 at 12:43 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 : #SocBizExchange
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[21] #socbizexchange,event [13] thomas_harrer,ibm [12] tribalimpact,#socbizexchange [12] looking,forward [9] sharing,#socialselling [7] #ibm,sharing [7] sharing,experience [7] experience,using [7] using,#influencers [7] #influencers,share Top Word Pairs in Tweet in G1:
[7] #socbizexchange,event [7] thomas_harrer,ibm [5] #ibm,sharing [5] sharing,experience [5] experience,using [5] using,#influencers [5] #influencers,share [5] share,voice [5] voice,company [5] company,thanks Top Word Pairs in Tweet in G2:
[4] #socbizexchange,event [2] great,hear [2] hear,kirstenboileau [2] kirstenboileau,talking [2] talking,#sales [2] #sales,#marketing [2] #marketing,working [2] working,together [2] together,way [2] way,forward Top Word Pairs in Tweet in G3:
[10] #socbizexchange,event [8] tribalimpact,#socbizexchange [6] looking,forward [4] busy,week [4] week,form [4] form,tribal [4] tribal,ahead [4] ahead,tomorrow [4] tomorrow,#socbizexchange [4] event,shard Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: