Abstract
Formal methods, models and tools for social big
data analytics are largely limited to graph theoretical approaches
such as social network analysis (SNA) informed by relational
sociology. There are no other unified modeling approaches to
social big data that integrate the conceptual, formal and software
realms. In this paper, we first present and discuss a theory and
conceptual model of social data. Second, we outline a formal
model based on set theory and discuss the semantics of the formal
model with a real-world social data example from Facebook.
Third, we briefly present and discuss the Social Data Analytics
Tool (SODATO) that realizes the conceptual model in software
and provisions social data analysis based on the conceptual and
formal models. Fourth and last, based on the formal model and
sentiment analysis of text, we present a method for profiling of
artifacts and actors and apply this technique to the data analysis
of big social data collected from Facebook page of the fast fashion
company, H&M.
| Original language | English |
|---|---|
| Title of host publication | Big Data (BigData Congress), 2014 IEEE International Congress on |
| Publisher | IEEE |
| Publication date | 27 Jun 2014 |
| Pages | 629-636 |
| ISBN (Print) | 978-1-4799-5056-0 |
| DOIs | |
| Publication status | Published - 27 Jun 2014 |
| Event | 2014 IEEE International Congress on Big Data - Anchorage, Alaska, United States Duration: 27 Jun 2014 → 2 Jul 2014 Conference number: 3 http://www.ieeebigdata.org/2014/ |
Conference
| Conference | 2014 IEEE International Congress on Big Data |
|---|---|
| Number | 3 |
| Country/Territory | United States |
| City | Anchorage, Alaska |
| Period | 27/06/2014 → 02/07/2014 |
| Internet address |
Keywords
- Formal Methods
- Social Data Analytics
- Computational Social Science
- Data Science
- Big Social Data