Measuring social relations with multiple datasets
Author(s) -
Juuso Karikoski,
Matti Nelimarkka
Publication year - 2011
Publication title -
international journal of social computing and cyber-physical systems
Language(s) - English
Resource type - Journals
eISSN - 2040-073X
pISSN - 2040-0721
DOI - 10.1504/ijsccps.2011.043606
Subject(s) - data science , computer science
Julkaisun kokoteksti on luettavissa vain Aalto-tunnuksilla.Please note that access to the fulltext is limited to Aalto staff and students.Because people have different levels of engagement with each other,measuring social relations is difficult. In this work, we propose a methodof measuring social relations with multiple datasets and demonstrate thedifferences with empirical evidence. Our empirical findings demonstrate thatpeople use different communication media channels differently. Therefore, wesuggest that in order to understand social structures, one should use severalkinds of data sources and not just depend on a single dataset. Our datasetsinclude mobile phone data gathered with handset-based measurements and datafrom OtaSizzle online social media services. By means of social networkanalysis, we show that the online social media services have a differentfriendship network than the networks based on mobile phone communication.The mobile phone communication networks, however, have a very similarstructure. These results are encouraging as previous research also indicatesdifferences in the communication networks.Peer reviewe
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom