TY - GEN
T1 - Assessing strategies for sampling dynamic social networks
AU - Ceravolo, Paolo
AU - Ciclosi, Francesco
AU - Bellini, Emanuele
AU - Damiani, Ernesto
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - Social Networks represents an invaluable source of information to detect, understand and predict social trends and complex dynamics. Unfortunately, the presence of several constraints in data collections as costs, dimensions, time and so forth, requires the implementation of a sampling strategy able to maximize the information value for the analysis. The paper defines a number of parameters and thresholds defining a new strategy for data sampling in social network and compares samples obtained with different strategies. The test case has been conducted on the social network of the mayors of four Italian metropolitan areas. Results of the assessment reveal that the parameter designed for configuring a strategy impacts on the dimension, the extraction time and the quality of the generated network as expected. The best tradeoff between quality and execution time has been identified and discussed.
AB - Social Networks represents an invaluable source of information to detect, understand and predict social trends and complex dynamics. Unfortunately, the presence of several constraints in data collections as costs, dimensions, time and so forth, requires the implementation of a sampling strategy able to maximize the information value for the analysis. The paper defines a number of parameters and thresholds defining a new strategy for data sampling in social network and compares samples obtained with different strategies. The test case has been conducted on the social network of the mayors of four Italian metropolitan areas. Results of the assessment reveal that the parameter designed for configuring a strategy impacts on the dimension, the extraction time and the quality of the generated network as expected. The best tradeoff between quality and execution time has been identified and discussed.
UR - http://www.scopus.com/inward/record.url?scp=85077685612&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30809-4_16
DO - 10.1007/978-3-030-30809-4_16
M3 - Conference contribution
AN - SCOPUS:85077685612
SN - 9783030308087
T3 - Springer Proceedings in Complexity
SP - 171
EP - 179
BT - Research and Innovation Forum 2019 - Technology, Innovation, Education, and their Social Impact
A2 - Visvizi, Anna
A2 - Lytras, Miltiadis D.
PB - Springer
T2 - Research and Innovation Forum, Rii Forum 2019
Y2 - 24 April 2019 through 26 April 2019
ER -