Introduction to social network methods

Um bom livro online sobre SNA

Um bom livro online sobre SNA

Robert A. Hanneman and Mark Riddle

Introduction to social network methods

Table of contents


About this book

This on-line textbook introduces many of the basics of formal approaches to the analysis of social networks.  The text relies heavily on the work of Freeman, Borgatti, and Everett (the authors of the UCINET software package). The materials here, and their organization, were also very strongly influenced by the text of Wasserman and Faust, and by a graduate seminar conducted by Professor Phillip Bonacich at UCLA.  Many other users have also made very helpful comments and suggestions based on the first version.   Errors and omissions, of course, are the responsibility of the authors.

You are invited to use and redistribute this text freely — but please acknowledge the source.

Hanneman, Robert A. and Mark Riddle.  2005.  Introduction to social network methods. Riverside, CA:  University of California, Riverside ( published in digital form athttp://faculty.ucr.edu/~hanneman/ )


Table of contents:

Preface
1.    Social network data
2.    Why formal methods?
3.    Using graphs to represent social relations
4.    Working with Netdraw to visualize graphs
5.    Using matrices to represent social relations
6.    Working with network data
7.    Connection
8.    Embedding
9.    Ego networks
10.  Centrality and power
11.  Cliques and sub-groups
12.  Positions and roles: The idea of equivalence
13.  Measures of similarity and structural equivalence
14.  Automorphic equivalence
15.  Regular equivalence
16.  Multiplex networks
17. Two-mode networks
18.  Some statistical tools
After word

Bibliography

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Lexical Distance Among the Languages of Europe

Um bom exemplo de aplicação de redes como visualização à proximidade das linguas Europeias

Um bom exemplo de aplicação de redes como visualização à proximidade das linguas Europeias

This chart shows the lexical distance — that is, the degree of overall vocabulary divergence — among the major languages of Europe.

The size of each circle represents the number of speakers for that language. Circles of the same color belong to the same language group. All the groups except for Finno-Ugric (in yellow) are in turn members of the Indo-European language family.

English is a member of the Germanic group (blue) within the Indo-European family. But thanks to 1066, William of Normandy, and all that, about 75% of the modern English vocabulary comes from French and Latin (ie the Romance languages, in orange) rather than Germanic sources. As a result, English (a Germanic language) and French (a Romance language) are actually closer to each other in lexical terms than Romanian (a Romance language) and French.

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Century of rock history

Para quem gosta de música esta visualização é extraordinária

Para quem gosta de música esta visualização é extraordinária

Jessica Edmondson visualized the history of rock music, from foundations in the pre-1900s to a boom in the 1960s and finally to what we have now. Nodes represent music styles, and edges represent musical connections. There are a lot of them and as a whole it’s a screen of spaghetti, but it’s animated, which is key. It starts at the beginning and develops over time, so you know where to go and what to look at. Music samples for each genre is also a nice touch. [Thanks, Jessica]

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Using Metadata to Find Paul Revere

Um exemplo de um estudo de redes sociais

Um exemplo de um estudo de redes sociais

It’s just metadata. What can you do with that? Kieran Healy, a sociology professor at Duke University, shows what you can do, with just some basic social network analysis. Using metadata from Paul Revere’s Ride on the groups that people belonged to, Healy sniffs out Paul Revere as a main target. Bonus points for writing the summary from the point of a view of an 18th century analyst.

What a nice picture! The analytical engine has arranged everyone neatly, picking out clusters of individuals and also showing both peripheral individuals and—more intriguingly—people who seem to bridge various groups in ways that might perhaps be relevant to national security. Look at that person right in the middle there. Zoom in if you wish. He seems to bridge several groups in an unusual (though perhaps not unique) way. His name is Paul Revere.

You can grab the R code and dataset on github, too, if you want to follow along.

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Projeto portugues de análise de text mining

um interessante projeto pt de text mining

um interessante projeto pt de text mining

redes de relações entre entidades: O Mundo Visto Daqui

Nuvem de palavras mais frequentes: Bubble Cloud

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SNA Phone-hacking scandal

Aplicação de redes sociais para descrever um caso de corrupção

The web of connections on the right shows the key people involved in the phone-hacking story and how their professional and social lives are linked.

Read how the story developed by clicking on the arrows above. As each person’s professional and personal connections are revealed, the web builds up into a complex network of relationships.

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