The graph represents a network of 85 Twitter users whose recent tweets contained "#socialCTO", 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 Friday, 17 May 2019 at 16:15 UTC.
The tweets in the network were tweeted over the 9-day, 12-hour, 11-minute period from Wednesday, 08 May 2019 at 03:47 UTC to Friday, 17 May 2019 at 15:59 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 : 85
Unique Edges : 137
Edges With Duplicates : 225
Total Edges : 362
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0.0175438596491228
Reciprocated Edge Ratio : 0.0344827586206897
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 85
Maximum Edges in a Connected Component : 362
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.929135
Graph Density : 0.0243697478991597
Modularity : 0.272849
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[29] #ibmsystems,ibmsystems [24] #proudibmer,#ibmsystems [24] #employeeadvocacy,#socialcto [22] #ibm,ibm [22] #ibmsystems,technical [22] technical,university [22] university,#ibmz [22] #ibmz,#berlin [22] #berlin,20 [22] 20,24 Top Word Pairs in Tweet in G1:
[21] #ibmsystems,technical [21] technical,university [21] university,#ibmz [21] #ibmz,#berlin [21] #berlin,20 [21] 20,24 [21] 24,2019 [21] 2019,looking [21] looking,forward [21] forward,expecially Top Word Pairs in Tweet in G2:
[18] thomas_harrer,hackers [18] hackers,causing [18] causing,blackouts [18] blackouts,time [18] time,boost [18] boost,#cyberresilience [18] #cyberresilience,wef [18] wef,frronconi [18] frronconi,#cybersecurity [18] #cybersecurity,#scada Top Word Pairs in Tweet in G3:
[7] thomas_harrer,#socialcto [7] #socialcto,thomas_harrer [7] nodexl,#ff [7] thomas_harrer,spirosmargaris [7] spirosmargaris,topcybernews [6] thomas_harrer,ty [6] ty,nodexl [6] #ff,ty [6] ty,thomas_harrer [3] thomas_harrer,ibm Top Word Pairs in Tweet in G4:
[10] thomas_harrer,#ibm [9] #ibmsystems,ibmsystems [6] #ibm,ibm [6] ibm,#ibmsystems [6] ibmsystems,#socialcto [6] #socialcto,#cto [6] #cto,#smm [6] #smm,never [6] never,work [6] work,again Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: