By Elena Zheleva, Evimaria Terzi, Lise Getoor
This synthesis lecture offers a survey of labor on privateness in on-line social networks (OSNs). This paintings encompasses issues of clients in addition to carrier companies and 3rd events. Our objective is to process such matters from a computer-science standpoint, and development upon present paintings on privateness, safety, statistical modeling and databases to supply an summary of the technical and algorithmic concerns relating to privateness in OSNs. we begin our survey by way of introducing an easy OSN information version and describe universal statistical-inference options that may be used to deduce almost certainly delicate info. subsequent, we describe a few privateness definitions and privateness mechanisms for facts publishing. eventually, we describe a suite of contemporary suggestions for modeling, comparing, and dealing with person users' privateness hazard in the context of OSNs.
desk of Contents: creation / A version for on-line Social Networks / varieties of privateness Disclosure / Statistical tools for Inferring info in Networks / Anonymity and Differential privateness / assaults and Privacy-preserving Mechanisms / types of data Sharing / Users' privateness possibility / administration of privateness Settings
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Additional resources for Privacy in Social Networks (Synthesis Lecutres on Data Mining and Knowledge Discovery)
Phethean et al. Table 5. 01 Table 6. 36 Post Format Analysis The quantities of each diﬀerent post type (statuses, pictures, videos and links) sent by the charity were counted on the two sites. 571) were calculated (across the entire dataset for each site), with Z-scores calculated on each. An index for the engagement with each post format was then calculated as the average of these two values (Table 6 and Table 7). On Twitter, no posts were returned labelled as containing video content, so this row was excluded from the calculation.
With respect to the control variables, controlling for the enterprise’s age did not turn out to be significant in any case, and the results of the analysis were similar to those showed in Table 6. Thus, it was decided to not include it in the models of regression. 7 Conclusion and Policy Recommendations This empirical study reveals that female-owned SMEs have a negative and significant association on the internal rate of return in Arab countries; meanwhile gender plays no role in SMEs performance in Brazil.
Why is Internet such an essential ingredient for a successful SMEs, for example in the Egyptian market? SMEs in general report sizable benefits from having online presence. These include the following advantages: improved returns from their advertising campaign; increased productivity; greater ease in recruiting; enhanced ability to provide a large range of products to customers. The biggest benefit reported by SMEs that are active online is their ability to expand their geographic footprint (especially into other regions in Egypt).
Privacy in Social Networks (Synthesis Lecutres on Data Mining and Knowledge Discovery) by Elena Zheleva, Evimaria Terzi, Lise Getoor