Abstract
This chapter elucidates how social network analytics influence regional science. The current state of the art in social network analysis, both quantitative and qualitative, is examined. How social network analysis can be and is used to influence and to understand the spatial manifestations of economic and political activity across regions in continuous and network space is explained. The major social networks now extant are described, and their current activities are discussed including the topics of microtargeting, transparency, privacy, proprietary algorithms, and “fake news” and its synonyms such as post-truth. Policy implications to influence and govern these activities, such as taxation and regulation, are reviewed and their regional economic implications discussed.
Truth is such a difficult problem that most people don’t see any problem in it at all. Friedrich Dürrenmatt
I know that for a fact…. Anonymous
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Abbreviations
- API:
-
Application programming interfaces
- AT&T:
-
American Telephone and Telegraph
- BBC:
-
British Broadcasting Corporation
- EU:
-
European Union
- FN:
-
Fake News
- GDPR:
-
General Data Protection Regulation
- IC:
-
Independent cascade
- IM:
-
Influence maximization
- LT:
-
Linear threshold
- NYT:
-
New York Times
- RS:
-
Regional science
- SM:
-
Social media
- SM/SN:
-
Social Media/Social Networks
- SN:
-
Social network
- SNA:
-
Social network analysis
- SQL:
-
Structured query language
- UGC:
-
User-generated content
- VR:
-
Virtual Reality
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Medina, R., Waters, N. (2019). Social Network Analysis. In: Fischer, M., Nijkamp, P. (eds) Handbook of Regional Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36203-3_49-1
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