TY - GEN
T1 - Synthesis of Hypothetical Sociograms for Social Network Analysis
AU - Ade-Ibijola, Abejide
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Sociograms (or Social Network Graphs) have evolved to be insightful tools. These are graphs that depict social relationships amongst individual entities or organisations. Inferences (such as media influence, information transmission, behavioural change, and evolution of interactions across geographical regions) can be made from Sociograms. However, there are privacy concerns around using real life social media profiles to generate graphs for analytics in practice/illustration sessions. In this paper, we present an algorithm for the automatic generation of hypothetical Sociograms. This algorithm generates random hypothetical names as vertices, and random relationships between them as directed edges. Each generated graph is rendered graphically using the Microsoft's Automatic Graph Layout API. Results showing 1,000 distinct synthesised social network graphs can be found at: www.tinyurl.com/SynthesisedSociograms. These synthesised sociograms can be useful in describing hypothetical scenarios in instruction or planning sessions, where real-life data is not necessary.
AB - Sociograms (or Social Network Graphs) have evolved to be insightful tools. These are graphs that depict social relationships amongst individual entities or organisations. Inferences (such as media influence, information transmission, behavioural change, and evolution of interactions across geographical regions) can be made from Sociograms. However, there are privacy concerns around using real life social media profiles to generate graphs for analytics in practice/illustration sessions. In this paper, we present an algorithm for the automatic generation of hypothetical Sociograms. This algorithm generates random hypothetical names as vertices, and random relationships between them as directed edges. Each generated graph is rendered graphically using the Microsoft's Automatic Graph Layout API. Results showing 1,000 distinct synthesised social network graphs can be found at: www.tinyurl.com/SynthesisedSociograms. These synthesised sociograms can be useful in describing hypothetical scenarios in instruction or planning sessions, where real-life data is not necessary.
KW - Sociograms
KW - graphs
KW - social media
KW - social network analysis
KW - synthesis of things
UR - http://www.scopus.com/inward/record.url?scp=85065700751&partnerID=8YFLogxK
U2 - 10.1109/ISCMI.2018.8703221
DO - 10.1109/ISCMI.2018.8703221
M3 - Conference contribution
AN - SCOPUS:85065700751
T3 - 5th International Conference on Soft Computing and Machine Intelligence, ISCMI 2018
SP - 79
EP - 83
BT - 5th International Conference on Soft Computing and Machine Intelligence, ISCMI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Soft Computing and Machine Intelligence, ISCMI 2018
Y2 - 21 November 2018 through 22 November 2018
ER -