CRJU 520 - Chapter 11

Adjacency matrix

A dataset containing information about the relations between the units of observation, sometimes called a network matrix.

Nodelist

A dataset containing the nodes (units of observation) for a social network analysis.

Sociogram

A graph representing the social configurations, with individuals (or some other unit) represented by points and their social relationships to one another depicted by lines.

Betweenness centrality score

A statistic that measures the extent to which nodes connect to other nodes that are not directly linked to each other in social network analysis.

Big Data

A very large dataset (contains thousands of cases), accessible in computer-readable form, that is used to reveal patterns, trends, and associations between variables with new computer technology

Social network analysis

An approach to analysis and a set of methodological techniques that help researchers and practitioners describe and explore relationships that both individuals and groups have with each other.

Binary network

Distinguishes whether a relationship does or does not exist between nodes.

A networkgram is a graph representing the social configurations, with individuals (or some other unit) represented by points and their social relationships to one another depicted by lines.

False

Big data is not associated with any concerns about research ethics.

False

Data that measures the contacts, connections, attachments, and ties that one related unit has with the next is referred to as contextual data.

False

Ggrams are frequency graphs, produced by Google's database.

False

Social network analysis is a geographical mapping strategy that is used to visualize a number of things including location, distance, and patterns of crime and their correlates.

False

Subject confidentiality is not a concern with secondary data or big data.

False

Ngrams

Frequency graphs, produced by Google's database, of all words printed in more than one third world's books over time (with coverage still expanding)

Crime mapping

Geographical mapping strategies used to visualize a number of things including location, distance, and patterns of crime and their correlates

Relational data

Measures the contacts, connections, attachments, and ties that relate one unit to the next.

Risk-terrain modeling (RTM)

Modeling that uses data from several sources to predict the probability of crime occurring in the future, using the underlying factors of the environment that are associated with illegal behavior

Nodes

The basic units (e.g., people) in a social network graph, sometimes called actors or vertices.

Relations

The connections in a network graph, sometimes called ties, links, arcs, or edges.

Geographic information system (GIS)

The software tool that has made crime mapping increasingly available to researchers since the 1990s

A binary network distinguishes whether a relationship exists or not between nodes.

True

A very large dataset that is accessible in computer-readable form is known as big data.

True

Geographical information system (GIS) is a commonly used crime mapping software tool.

True

ICPSR can restrict access to data that requires investigators to agree to certain conditions of use that preserve subject confidentiality.

True

Intelligence-led policing are policing strategies and tactics that are guided by data, analysis, and criminal theory.

True

Risk-terrain modeling is a modeling technique that relies on data from multiple sources to predict the probability of crime.

True

Social networks are types of relationships that can include many different forms such as face-to-face, online and digital, economic transactions, interaction with a criminal justice agency, geopolitical relations among nation states, for example.

True

The basic units (e.g., people) in a social network analysis are referred to as nodes.

True

The institutional review board (IRB) for the protection of human subjects at your college or university or other institution has the responsibility to decide whether they need to review and approve proposals for secondary data analysis.

True

Social networks

Types of relationships that can include many different forms, such as face-to-face and online interactions, digital economic transactions, interaction with a criminal justice agency, geopolitical relations among nation states, and so on.

Intelligence‑led policing

Using data, analysis, and criminal theory to guide police allocation and decision making.