Nick J Avis
Biographic Data
| ID | 6607397 |
|---|---|
| NAME | Nick J Avis |
| GIVEN NAMES | Nick J |
| FAMILY NAME | Avis |
| SIGNATURE | AVIS N J |
| AFFILIATIONS | Cardiff University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 24 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 2 |
Making sense of self-reported socially significant data using computational methods
The growing number of people using social media to communicate with their peers and document their personal everyday feelings and views is creating a ‘data on an epic scale’ that provides the opportunity for social scientists to conduct research such as ethnography, discourse and content analysis of social interactions, providing an additional insight into today’s society. However, the tools and methods required to conduct such analysis are often…
Policing cyber-neighbourhoods
We propose that late modern policing practices, that rely on neighbourhood intelligence, the monitoring of tensions, surveillance and policing by accommodation, need to be augmented in light of emerging ‘cyber-neighbourhoods’, namely social media networks. The 2011 riots in England were the first to evidence the widespread use of social media platforms to organise and respond to disorder. The police were ill-equipped to make use of the intelligen…
Policing cyber-neighbourhoods
We propose that late modern policing practices, that rely on neighbourhood intelligence, the monitoring of tensions, surveillance and policing by accommodation, need to be augmented in light of emerging ‘cyber-neighbourhoods’, namely social media networks. The 2011 riots in England were the first to evidence the widespread use of social media platforms to organise and respond to disorder. The police were ill-equipped to make use of the intelligen…
Making sense of self-reported socially significant data using computational methods
The growing number of people using social media to communicate with their peers and document their personal everyday feelings and views is creating a ‘data on an epic scale’ that provides the opportunity for social scientists to conduct research such as ethnography, discourse and content analysis of social interactions, providing an additional insight into today’s society. However, the tools and methods required to conduct such analysis are often…
Making sense of self-reported socially significant data using computational methods
The growing number of people using social media to communicate with their peers and document their personal everyday feelings and views is creating a ‘data on an epic scale’ that provides the opportunity for social scientists to conduct research such as ethnography, discourse and content analysis of social interactions, providing an additional insight into today’s society. However, the tools and methods required to conduct such analysis are often…
Policing cyber-neighbourhoods
We propose that late modern policing practices, that rely on neighbourhood intelligence, the monitoring of tensions, surveillance and policing by accommodation, need to be augmented in light of emerging ‘cyber-neighbourhoods’, namely social media networks. The 2011 riots in England were the first to evidence the widespread use of social media platforms to organise and respond to disorder. The police were ill-equipped to make use of the intelligen…
Computer Science (2 works) · Data science (2 works) · Social media (2 works) · Social Media and Politics (2 works) · Sociology (2 works) · Complex Network Analysis Techniques (1 work) · Computational sociology (1 work) · Crime Patterns and Interventions (1 work) · Criminology (1 work) · Data collection (1 work)