Auditing Social Media: A Governance and Risk Guide by Peter R. Scott, J. Mike Jacka

By Peter R. Scott, J. Mike Jacka

Practical, big-picture tips towards a mastery of social media merits and the hazards to avoid
Packed with important net hyperlinks, renowned social media instruments, systems, and tracking instruments, Auditing Social Media indicates you the way to leverage the ability of social media for immediate enterprise advantages whereas assessing the hazards concerned. your company sees the worth in social media and desires to arrive new markets, but there are hazards and compliance matters that has to be thought of. Auditing Social Media equips you to effectively accomplice along with your enterprise achieve its social media pursuits and tune it via powerful metrics.* exhibits tips to confirm your small business has enough metrics in position to capitalize on social media whereas holding itself from over the top risk
* finds tips on how to be sure your social media process is aligned together with your business's goals
* Explores the danger and compliance concerns each enterprise needs to examine while utilizing social media
* contains a pattern audit program

Auditing Social Media is the one-stop source you'll continue through your part to transparent away the complicated muddle surrounding social media.

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Journal of Approximate reasoning 48, 808–828 (2008) 22 M. A. Mostafavi 10. : Semantic Granularity in OntologyDriven Geographic Information Systems. AMAI Annals of Mathematics and Artificial Intelligence - Special Issue on Spatial and Temporal Granularity 36(1-2), 121–151 (2002) 11. : S-Match: An Algorithm and an Implementation of Semantic Matching. , Studer, R. ) ESWS 2004. LNCS, vol. 3053, pp. 61–75. Springer, Heidelberg (2004) 12. : A Translation Approach to Portable Ontology Specification. Stanford, California, Knowledge Systems Laboratory Technical Report KSL 92-71 (1993) 13.

A compact version of this structure is a promising line of future work because it could provide also an interesting trade-off. A basic tool in compact data structures is the rank operation: given a sequence S of length N , drawn from an alphabet Σ of size σ, ranka (S, i) counts the occurrences of symbol a ∈ Σ in S[1, i]. For the special case Σ = {0, 1} (S is a bit-vector B), the rank operation can be implemented in constant time and using little additional space on top of B (o(n) in theory [7]).

The MGsP includes the semantics of basic multidimensional concepts such as the semantic of aggregation, the semantic of measure function and the semantic of hyper-cellability. The MGsP extension was defined within a general research project, which was implemented to manage the risks of data misinterpretation during the semantic interoperability between geospatial datacube. 32 T. Sboui and Y. Bédard Further work is required to enhance the MGsP by defining more refined attributes. For example, for the aggregation attribute we can define the aggregation domain and aggregation constraint.

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