Abstract | ||
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Social data are created by the core mechanisms of social software: social production, weak ties and collective decisions. They contain graph-oriented information about content items and their links, relations between people and the statistical information from collective decision mechanisms. Social data can be used to support many business activities. Product innovation, marketing, customer relations can benefit from social data. Products can be improved quicker and more thoroughly as before by analyzing social data. Marketing identifies individual customer requirements from social data. Important events in customer relations can be detected more reliably and earlier if social data are surveyed. |
Year | DOI | Venue |
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2012 | 10.1007/978-3-642-36285-9_29 | Lecture Notes in Business Information Processing |
Field | DocType | Volume |
Customer intelligence,Customer retention,Social network,Computer science,Business marketing,Customer to customer,Customer advocacy,Personalized marketing,Relationship marketing,Marketing,Process management | Conference | 132 |
ISSN | Citations | PageRank |
1865-1348 | 4 | 0.60 |
References | Authors | |
8 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rainer Schmidt | 1 | 274 | 29.67 |