Enhance Your Learning with Political Social Networks Flash Cards for quick learning
The study of how individuals, organizations, and institutions are connected and interact within the political sphere.
A methodological approach that examines the structure and dynamics of social networks to understand patterns of interaction and influence.
The resources, such as trust, reciprocity, and social connections, that individuals and groups can access through their social networks.
A measure of an individual's or node's importance within a network, often based on their degree of connectedness or influence.
The tendency for individuals to associate and form connections with others who are similar to them in terms of characteristics such as beliefs, values, and demographics.
Gaps or missing links between individuals or groups within a network, which can provide opportunities for information flow and influence.
The role of an individual or organization that connects otherwise disconnected groups or individuals within a network, facilitating the flow of information and resources.
The ability of individuals or groups to shape the attitudes, behaviors, and decisions of others within a social network.
The spread of new ideas, practices, or policies through a social network, often influenced by the characteristics of the individuals and the structure of the network.
Coordinated efforts by a group of individuals to achieve a common goal or address a shared problem, often facilitated or hindered by the structure of their social network.
Organized collective actions aimed at promoting or resisting social or political change, often relying on social networks for mobilization and coordination.
Networks of individuals, organizations, and institutions involved in the formulation, implementation, and evaluation of public policies.
A mode of governance that emphasizes collaboration, coordination, and decision-making through networks of actors, rather than hierarchical or market-based mechanisms.
The ability of a network to withstand and recover from disruptions or shocks, often influenced by its structure, redundancy, and adaptability.
The processes and mechanisms that shape the evolution, change, and stability of social networks over time.
A network that focuses on the connections and relationships of a single individual, often used to study personal social networks and their effects.
A network that examines the connections and relationships within a defined group or community, often used to study organizational or community networks.
The presence of multiple types of relationships or connections between individuals within a social network, such as friendship, collaboration, and information exchange.
The graphical representation of social networks, often using nodes and edges to depict individuals and their connections.
The ethical issues and dilemmas that arise in the study and analysis of social networks, such as privacy, consent, and data protection.
An individual, organization, or entity within a social network that is connected to other nodes through relationships or interactions.
The connection or relationship between two nodes within a social network, often represented by a line or arrow.
The number of connections or edges that a node has within a social network, often used as a measure of its centrality or importance.
A tightly-knit group of nodes within a social network that are highly interconnected, often sharing similar characteristics or interests.
The idea that social networks tend to exhibit short average path lengths and high clustering, allowing for efficient information flow and social connections.
Social networks that exhibit a power-law distribution of node degrees, with a few highly connected nodes (hubs) and many nodes with few connections.
The process of identifying and delineating distinct communities or groups within a social network based on patterns of connections and interactions.
Quantitative measures used to assess the importance or influence of nodes within a social network, such as degree centrality, betweenness centrality, and eigenvector centrality.
A measure of the extent to which nodes within a social network are connected to each other, often calculated as the ratio of observed connections to possible connections.
The tendency for individuals within a social network to form mutual connections or relationships, often characterized by the exchange of resources or favors.
The tendency for individuals within a social network to form connections with others who are connected to each other, often leading to the formation of clusters or communities.
The degree to which connections within a social network are reciprocated or closed, often associated with trust, cooperation, and social cohesion.
The tendency for individuals within a social network to form connections with others who are dissimilar to them in terms of characteristics such as beliefs, values, and demographics.
Computer programs and tools used to collect, analyze, and visualize social network data, often providing various metrics and algorithms for network analysis.
Social networks that change over time, often capturing the dynamics and evolution of relationships and interactions within a specific period or context.
Social networks that consist of multiple layers or types of connections between nodes, such as friendship, collaboration, and communication networks.
The network of connections and relationships surrounding a focal individual or ego within a social network, often used to study personal social networks and their effects.
The degree to which nodes within a social network have similar positions or roles, often based on their connections and relationships with other nodes.
The degree to which nodes within a social network are similar to each other in terms of characteristics such as beliefs, values, and demographics.
The degree to which nodes within a social network are connected to each other, often indicating the strength of relationships and the presence of subgroups or communities.
The tendency for relationships within a social network to be balanced or imbalanced, often influenced by factors such as triads and social norms.
Individuals within a social network who are highly influential and have a significant impact on the attitudes and behaviors of others.
The spread of information or behaviors within a social network, often characterized by a chain reaction or domino effect.
The spread of emotions, behaviors, or attitudes within a social network, often influenced by social norms and the behavior of others.
Strategies and interventions aimed at modifying or influencing the structure or dynamics of a social network to achieve desired outcomes or objectives.
The process of gathering and acquiring data on social networks, often through surveys, interviews, observations, or digital traces.
The process of organizing, cleaning, and analyzing social network data to uncover patterns, relationships, and insights.
Quantitative measures used to describe and analyze the structure and properties of social networks, such as density, centrality, and clustering coefficient.
Mathematical or computational representations of social networks, often used to simulate and study network dynamics and processes.