Social Networks and Cognitive Biases

This set of flashcards covers key vocabulary and concepts related to social networks, cognitive biases, and their applications, providing a comprehensive study tool for students preparing for their exams.

Cognitive Biases

Patterns of deviation in judgment, affecting how we perceive and recall information.

Recency Bias

The tendency to recall information about people you've interacted with most recently.

Salience

The quality of being particularly noticeable or important; affects how concepts come to mind.

Social Network

A collection of nodes connected by edges, representing relationships among individuals or entities.

Node

An entity in a social network, such as a person, device, or document.

Edge

A connection in a social network that represents a relationship between two nodes.

Network Metric

A numerical measure derived from relationships between nodes to assess network properties.

Degree

The number of edges connected to a node, indicating its connectivity.

Weighted Degree

A measure that considers both the quantity and quality of relationships (edges) for a node.

Platform Comparison

A comparative analysis of different social platforms (e.g., LinkedIn vs. Facebook).

Conversational Ties

Active connections or interactions with individuals that one can maintain.

Cognitive Limit

The maximum number of active relationships one can maintain, typically 15–20.

Graph Concept

Framework for representing relationships and entities in a visual format.

Animal Friends

A metaphor for close relationships that can be visualized in a network.

Bridges in a Network

Nodes that connect separate sub-graphs, critical for maintaining network connectivity.

Degree Centrality

A measure of a node's direct connections within a network.

Path Concept

The sequence of edges connecting two nodes in a network.

Betweenness Centrality

A measure indicating how often a node lies on the shortest paths between other nodes.

Articulation Point

A node whose removal increases the number of disconnected components in a network.

Hollywood Actor Network

A network model showing connections based on actors co-appearing in films.

Keystone Node

A central node whose absence significantly impacts the network's coherence.

Network Analysis

The study of social networks to uncover patterns and relationships.

Core Graph Concepts

Fundamental principles that govern the structure and function of networks.

Social Circles

Groups of individuals who are connected through various relationships in a network.

Degrees of Separation

The concept explaining the distance between nodes in a social network.

First-Degree Connections

Direct relationships with immediate contacts.

Second-Degree Connections

Connections to friends of friends within a network.

Collaboration Networks

Patterns of interaction and communication among individuals working towards a common goal.

Visual Cues in Networks

Graphical indicators that illustrate node importance and connectivity.

Node Removal Impact

Analyzing the consequences of disconnecting a node from its network.

Small-World Properties

Characteristics of networks where nodes are reachable from any other node in a few steps.

Network Fragility

A network's vulnerability to disruption due to the loss of central nodes.

Centrality

The importance of a node in a network, often linked to its connections.

Graph Visualization

The graphical representation of nodes and edges for better analysis.

Concentration of Influence

A phenomenon where a small number of nodes hold significant power within a network.

Representation Issues

Challenges faced by marginalized groups within social networks.

Data Collection

The process of gathering information about interactions within a network.

Network Cohesion

The degree to which nodes in a network are connected and can communicate with each other.

Interactions Data

Information used to analyze how individuals within a network communicate.

Network Patterns

Recurring shapes and structures that emerge in social network analysis.

Challenge of Trust

The variability of trust in social networks depending on relationships.

Cognitive Bias Effects

Impact how we remember and prioritize our interactions with others.

Relational Dynamics

How different types of relationships affect individuals within a network.

Social Network Modeling

Creating representations of social networks for analysis and understanding.