EconPapers    
Economics at your fingertips  
 

Managing social networks: Applying the percolation theory methodology to understand individuals' attitudes and moods

Dmitry Zhukov, Tatiana Khvatova, Sergey Lesko and Anastasia Zaltcman

Technological Forecasting and Social Change, 2018, vol. 129, issue C, 297-307

Abstract: A disruptive technology is an unexpected technological breakthrough which destroys existing markets, shakes up an industry and induces organisations to radically change their business models. Digital technologies, and in particular social media are, without a doubt, the most disruptive innovations to have emerged over the past few decades. Social media virtually rule society: people's moods and opinions, spreading openly and rapidly within networks, can affect almost any business or brand in a positive or negative way.

Keywords: Percolation theory; Managing social networks; Clustering; Density; Percolation threshold (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162517314683
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:129:y:2018:i:c:p:297-307

DOI: 10.1016/j.techfore.2017.09.039

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:129:y:2018:i:c:p:297-307