1,721,317 research outputs found
Collaborative Solutions for an Aging Minnesota A Report to the Minnesota Board on Aging
Full text linkMurphy, James; Reger, Sheila; Sharma, Rajesh; Suomala, Adam. (2015). Collaborative Solutions for an Aging Minnesota A Report to the Minnesota Board on Aging. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/173966
Determinants and economic consequences of non-financial disclosure quality: an empirical evidence from Germany
No full textCorporate Social Responsibility (CSR) disclosure because of its voluntary nature allow managers with a significant flexibility in choosing reporting content and its style. Resultantly, there is considerable skepticism about the credibility and trustworthiness of information disclosed in CSR reports. Meanwhile this discretion is limited by the active monitoring role played by corporate governance mechanism, stakeholder involvement and regulatory implementation. Thus, considering the German context, this thesis investigates (i) the impact of external governance mechanism and implementation of Directive 2014/95/EU upon CSR disclosure quality (ii) market reaction to such disclosure. The CSR disclosure quality is measured through a composite score that is based on specific narrative features; length, verbal tone, numerical content and forward-looking content. Overall, the findings show a mixed impact of external governance mechanism whereas the implementation of directive tends to improve CSR disclosure quality. Similarly, market participants significantly respond to CSR disclosure with better quality
Understanding community patterns in large attributed social networks
No full textThere is an inherent presence of communities in online social networks. These communities can be defined based on i) link structure or ii) the attributes of individuals. Attributes can indicate as interests in specific topics, like science-fiction books or romantic movies, or more in general their explicit affiliation to a group inside the network. In this paper, we analyze community structures as defined by how people are associated to third concepts like attributes. To understand the community patterns we analyze three large and one small social network datasets. Our analysis shows that, irrespective of the number of nodes for any particular interest in the network, at least 50% of the nodes are part of the same connected component in the graph induced by each interest. Another interesting result of our analysis is that the majority of sub-communities (50% or above) for any interest are separated by small hops (two to three) from each other
Economic and social capital: different strategies to maintain power. Analysis of lobbying structure as a form of resistance
No full textStudying the Impact of Infrastructure on Cyclist Route Selection: Real-world Data Mining
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Are Social Networks Watermarking Us or Are We (Unawarely) Watermarking Ourself?
Full text linkIn the last decade, Social Networks (SNs) have deeply changed many aspects of society, and one of the most widespread behaviours is the sharing of pictures. However, malicious users often exploit shared pictures to create fake profiles, leading to the growth of cybercrime. Thus, keeping in mind this scenario, authorship attribution and verification through image watermarking techniques are becoming more and more important. In this paper, we firstly investigate how thirteen of the most popular SNs treat uploaded pictures in order to identify a possible implementation of image watermarking techniques by respective SNs. Second, we test the robustness of several image watermarking algorithms on these thirteen SNs. Finally, we verify whether a method based on the Photo-Response Non-Uniformity (PRNU) technique, which is usually used in digital forensic or image forgery detection activities, can be successfully used as a watermarking approach for authorship attribution and verification of pictures on SNs. The proposed method is sufficiently robust, in spite of the fact that pictures are often downgraded during the process of uploading to the SNs. Moreover, in comparison to conventional watermarking methods the proposed method can successfully pass through different SNs, solving related problems such as profile linking and fake profile detection. The results of our analysis on a real dataset of 8400 pictures show that the proposed method is more effective than other watermarking techniques and can help to address serious questions about privacy and security on SNs. Moreover, the proposed method paves the way for the definition of multi-factor online authentication mechanisms based on robust digital features
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