Social Network Analysis: Methods and Applications

  title={Social Network Analysis: Methods and Applications},
  author={Stanley Wasserman and Katherine Faust},
  booktitle={Structural analysis in the social sciences},
Part I. Introduction: Networks, Relations, and Structure: 1. Relations and networks in the social and behavioral sciences 2. Social network data: collection and application Part II. Mathematical Representations of Social Networks: 3. Notation 4. Graphs and matrixes Part III. Structural and Locational Properties: 5. Centrality, prestige, and related actor and group measures 6. Structural balance, clusterability, and transitivity 7. Cohesive subgroups 8. Affiliations, co-memberships, and… 

7. Very Local Structure in Social Networks

Results show that triadic structure is largely accounted for by properties more local than triads: network density, nodal indegree and outdegree distributions, and the dyad census, reinforcing the observation that structural configurations that can be realized in empirical social networks are severely constrained by very local network properties.

Disrupting Dark Networks

The promise and limits of social network analysis are examined, as well as the strategic options for disrupting dark networks and statistical models for dark networks.

Descriptive Analysis of Social Network Measures

Some network structure and network performance measures related to social networks are characterized and analysis of these social network measures helps people to understand the formation of various types of social networks.

Centrality In Social Networks: Theoretical And Simulation Approaches

This paper provides two additional perspectives: an analysis of real-world social-network data, and a study of networks produced by a simulation process, which leads to recommendations on when to use different centrality measures.

Social Network Analysis: History, Concepts, and Research

  • Mingxin Zhang
  • Sociology
    Handbook of Social Network Technologies
  • 2010
The most important difference between social network analysis and the traditional or classic social research approach is that the contexts of the social actor, or the relationships between actors are the first considerations of the former, while the latter focuses on individual properties.

Centrality in affiliation networks

Social network analysis: A methodological introduction

The fundamental concepts of network analysis are reviewed, as well as a range of methods currently used in the field, which offer a rigorous treatment of essential concepts and methods without assuming prior background.

Structural Analysis in Multi-Relational Social Networks

This paper generalizes stochastic blockmodels to Generalized Stochastic Blockmodels (GSBM) for performing positional and role analysis on multi-relational networks and proposes to use multivariate Poisson distribution for multi- Relational social networks.

Statistical Models for Social Networks

The early focus of statistical network modeling on the mathematical and statistical properties of Bernoulli and dyad-independent random graph distributions has now been replaced by efforts to construct theoretically and empirically plausible parametric models for structural network phenomena and their changes over time.