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• 017 __ |a CN |b 210-2010-442

• 020 __ |a 9787564126865 (pbk.) |c CNY78.00

• 040 __ |a HNUL |c HNUL

• 050 _4 |a QA76.9.D343 |b R87 2011

• 082 04 |a 006.312 |2 22

• 090 __ |a TP274/E25

• 093 __ |a TP274 |2 5

• 099 __ |a CAL 022011295230

• 100 1_ |a Russell, Matthew A., |c computer scientist.

• 245 10 |a Mining the social Web = |b 挖掘社交网络 / |c Mattbew A. Russell. |s 英文影印版

• 246 31 |a 挖掘社交网络

• 260 __ |a 南京 : |b 东南大学出版社, |c 2011.

• 300 __ |a xx, 332 p. : |b ill. ; |c 24 cm.

• 500 __ |a Includes index.

• 505 0_ |a Introduction : hacking on Twitter data -- Microformats : semantic markup and common sense collide -- Mailboxes : oldies but goodies -- Twitter : friends, followers, and setwise operations -- Twitter : the tweet, the whole tweet, and nothing but the tweet -- LinkedIn : clustering your professional network for fun (and profit?) -- Google buzz : TF-IDF, cosine similarity, and collocations -- Blogs et al. : natural language processing (and beyond) -- Facebook : the all-in-one wonder -- The semantic web : a cocktail discussion.

• 520 __ |a Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they're talking about, or where they're located? This book shows you how to answer these questions and more. Each chapter introduces techniques for mining data in different areas of the social web, including blogs and email.

• 534 __ |p Reprint. Originally published: |c Sebastopol, CA : O'Reilly, c2010. |z 9781449388348 (pbk.)

• 650 _0 |a Data mining.

• 650 _0 |a Online social networks.

• 920 __ |a 261060 |z 2

• 998 __ |a HNUL