Get Mining the Social Web: Finding Needles in the Social PDF

By Matthew A. Russell

ISBN-10: 1449388345

ISBN-13: 9781449388348

Fb, Twitter, and LinkedIn generate an incredible quantity of necessary social information, yet how are you going to discover who's making connections with social media, what they’re conversing approximately, or the place they’re positioned? This concise and sensible ebook indicates you ways to reply to those questions and extra. You'll tips on how to mix social internet facts, research recommendations, and visualization that will help you locate what you've been searching for within the social haystack, in addition to precious info you didn't understand existed.

every one standalone bankruptcy introduces concepts for mining info in several parts of the social net, together with blogs and electronic mail. All you must start is a programming heritage and a willingness to profit easy Python instruments.

* Get a simple synopsis of the social internet panorama
* Use adaptable scripts on GitHub to reap facts from social community APIs reminiscent of Twitter, fb, and LinkedIn
* the way to hire easy-to-use Python instruments to slice and cube the information you acquire
* discover social connections in microformats with the XHTML associates community
* practice complicated mining ideas comparable to TF-IDF, cosine similarity, collocation research, rfile summarization, and clique detection
* construct interactive visualizations with internet applied sciences established upon HTML5 and JavaScript toolkits

"Data from the social internet is diversified: networks and textual content, no longer tables and numbers, are the rule of thumb, and widespread question languages are changed with swiftly evolving net carrier APIs. permit Matthew Russell function your advisor to operating with social info units outdated (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social net is a normal successor to Programming Collective Intelligence: a realistic, hands-on method of hacking on facts from the social internet with Python." --Jeff Hammerbacher

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Extra info for Mining the Social Web: Finding Needles in the Social Haystack

Sample text

SASSER, W. (1991), S. 108; WEIBENBERGER,B. (1998), S. 615; ZEITHAML, V. et al. (1996), S. 33. Zu den positiven Effekten der Kundenbindung z~ihltdie Literatur neben Kosteneinsparungen auch ErlOssteigerungen bzw. Kundenbestandserweiterungensowie Eintrittsbarrieren ~r Wettbewerber. Vgl. DILLER, H. (1995a), S. 32; PETER, S. (1999), S. 41 ft.. Vgl. RAMS, W. (2001), S. 11 f.. Vgl. GERPOTT,T. (2000), S. 30 ft.. Kapitel 1 15 sen, 79 beschaftigen sich zustandsorientierte Analysen mit der Entstehung und Entwicklung von Gesch~ftsbeziehungen und folglich mit den eigentlichen Kaufprozessen.

40 ft.. MEFFERT, H. (1981), S. 106. 3 Aktuelle Forschungsschwerpunkte und -defizite in der Kundenbindungsforschung Trotz der bereits erw~ihnten intensiven Besch~iftigung mit dem Thema Kundenbindung hat sich bislang weder eine geschlossene Theorie noch ein allgemein anerkannter Erkl~irungsansatz herausgebildet. Die Ursache hierRir liegt in dem Umstand, dass es sich bei der Kundenbindungsforschung um keinen eigenst~indigen Forschungszweig handelt und stattdessen Erkenntnisse verschiedener konzeptioneller Ans~itze, wie etwa des Beziehungsmarketing oder 6konomische Austauschkonzepte, miteinander verkntipft werden.

2000), S. 142 f.. Eine Obersicht Uber m/Sgliche Ans/ttze zur Vermeidung von Opportunismus in zwischenbetrieblichen Gesch~ftsbeziehungen findet sich bei GIERL. Vgl. GIERL, H. (2000), S. 110 ft.. Zu der Unterscheidung zwischen aktiven und passiven Opportunismus vgl. /HEIDE, J. (2000), S. 40 ft.. MEFFERT, H. (1981), S. 106. 3 Aktuelle Forschungsschwerpunkte und -defizite in der Kundenbindungsforschung Trotz der bereits erw~ihnten intensiven Besch~iftigung mit dem Thema Kundenbindung hat sich bislang weder eine geschlossene Theorie noch ein allgemein anerkannter Erkl~irungsansatz herausgebildet.

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Mining the Social Web: Finding Needles in the Social Haystack by Matthew A. Russell


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