Reputation and Trust in Social Networks: Empirical results from a Facebook Reputation system

Reputation systems play a key role in ensuring responsible online behavior in web properties and foster user participation. This paper examines the need for peer to peer social reputation system and shares the results from building a social reputation system for Facebook. The results indicate that for peer to peer social reputation systems it is a better practice to capture specific reputation scores at granular levels rather than high level reputation scores. We establish the importance of identity of entities in the success of peer to peer reputation systems. We also show that by combining both qualitative comments and quantitative scores, the reputation system gains in richness and diversity and helps capture much more information than the pre-defined questions

Role of mashups, social networking platforms and semantic in revolutionizing web integration: Key insights and enterprise implications

The article examines the emergence and role of mashups in integrating data across the web, how social networking platforms penetrated the web by adding social experiences and how they helped in web integration, while solving some of the issues of mashups. We also discuss how semantic markups evolved in parallel, trying to bring in structured data and why social networking platforms need semantics for building the social graph of users. We take the case of Facebook‟s Open Graph protocol and discuss how semantic markups enhanced web integration by simplifying the process of creating mashups, giving more personalized experiences to the users. Finally, we present an integrated view of the role of mashups, social networking platforms and semantics from the angle of web integration and the insights that enterprises can learn from them

Hybrid chaos-based image encryption algorithm using Chebyshev chaotic map with deoxyribonucleic acid sequence and its performance evaluation

The media content shared on the internet has increased tremendously nowadays. The streaming service has major role in contributing to internet traffic all over the world. As the major content shared are in the form of images and rapid increase in computing power a better and complex encryption standard is needed to protect this data from being leaked to unauthorized person. Our proposed system makes use of chaotic maps, deoxyribonucleic acid (DNA) coding and ribonucleic acid (RNA) coding technique to encrypt the image. As videos are nothing but collection of images played at the rate of minimum 30 frames/images per second, this methodology can also be used to encrypt videos. The complexity and dynamic nature of chaotic systems makes decryption of content by unauthorized personal difficult. The hybrid usage of chaotic systems along with DNA and RNA sequencing improves the encryption efficiency of the algorithm and also makes it possible to decrypt the images at the same time without consuming too much of computation power

Organizational Engagement in Social Media to Motivate Strategic Directed Action: A Revelatory Case

IS literature offers little theorizing on the attributes of social media useful to construct effective organizational strategy. Absent theory, there is little to guide organizations to discover the motivational, discursive, or other aspects of social media that can inform their strategy. This paper presents a revelatory case to develop an empirically‑based understanding of organizational engagement in social media to motivate strategic directed actions aligned with organizational goals, and provides a strong socio-theoretic foundation for further work to integrate extant organizational and management theory with strategies attuned to specific attributes and characteristics of social media

Serial Serum Albumin and Other Liver Parameters Monitoring as a Prognostic Marker in Patients with Sepsis

INTRODUCTION: Serum Albumin is the most abundant plasma protein and contribute to 55%-60% of total protein of the body and it is a potent NEGATIVE ACUTE PHASE REACTANT its concentration changes in response to inflammation. severity of liver disease is reflected in clinical signs or biochemical alteration. Hepatic dysfunction & Hypoalbuminaemia indicates poor outcomes in sepsis patients. MATERIALS AND METHODS: Sepsis is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection. Chronic malnutritions, Chronic liver disease, Nephrotic syndrome, Protein losing enteropathy were excluded from the study. comparison and trend of serum Albumin and other liver parameters over Day 1, 3, 5, 7 of admission were studied among Survivor and Non-survivor irrespective of diagnosis. OBSERVATION AND RESULTS: A statistically significant difference (p<0.05)was observed in the mean serum Albumin on day 3 & increased liver enzymes, bilirubin, INR on day 3 between Survivor and Non-survivor (mean serum Albumin 3.53 and 3.18 respectively). Among the survivor those with higher mean serum Albumin & increased liver parameters on Day 3 had shorter hospital stay, minimized ionotropes support and mechanical ventilation requirements. Hence those patients who recovered from sepsis to have higher serum albumin and near normal liver enzymes on Day 3&5 had a higher chances of survival and reduced ionotropes, mechanical ventilation assist. CONCLUSION: Serum Albumin & LFT parameters on Day 3 &5 correlated directly with higher mortality in sepsis patients.Day 7 serum albumin <2.5g/dl and increased LFT parameters served as a poor prognostic marker.serum Albumin and LFT parameters thus served as simple but very powerful tool for assessing prognosis of Sepsis patients

Adaptive Strategies of Firms in High-Velocity Environments: The Case of B2B Electronic Marketplaces

Electronic marketplaces operate in highly dynamic environments. B2B (Business-to-business) e-Commerce (Electronic Commerce) is expanding rapidly, but Independent Internet based Electronic Marketplaces (IBEM) have passed through periods of boom and bust. In start-up entrepreneurial ventures such as IBEMs, adaptation is critical than at any other stage in the life cycle and hence the ability to learn and adapt becomes a key competency. The research uses the resource-based theory as a means of analyzing the evolution and adaptation of the resources and capabilities of IBEMs and the sustainability of competitive advantage. We use four case studies to trace the pattern of adaptation as well as identify the variables. Based on the inputs from this, we use a comprehensive sample of 135 IBEMs across various geographic regions covering 15 industry segments. The findings of this study provide key managerial insights into various issues that are important to IBEMs in particular and start-up entrepreneurial firms operating in highly dynamic environments in general. These include the stages of evolution and the sources or the lack of competitive advantage at each stage, the type of resources and capabilities, which need to be built, the type of complementary assets, which needs to be leveraged and the degrees of adaptation at various stages

Developing product innovation using Web 2.0: A field study.

Firms rely on effective innovation processes to develop innovative products essential to their competitive strategy. Systemsthat support the innovation processes have strategic relevance and are critical to the firm’s success and growth. Moreresearch is needed to explain how we can effectively coordinate the KM activities required for effective innovation processes.This paper will answer the question: How does Web 2.0 support effective innovation processes in product innovation? Weneed to better understand how a Web 2.0 platform can facilitate coordination, cooperation, and organizational learning andlead to improved innovation through more effective innovation processes. This paper develops an understanding of how Web2.0 applications integrate and support the needs of the innovation processes for product innovation. We provide a detailedcase study where Web 2.0 is used in the innovation process to show how it can be used to support KM for effectiveinnovation processes

Robust game-theoretic algorithms for distributed resource allocation in wireless communications

The predominant game-theoretic solutions for distributed rate-maximization algorithms in Gaussian interference channels through optimal power control require perfect channel knowledge, which is not possible in practice due to various reasons, such as estimation errors, feedback quantization and latency between channel estimation and signal transmission. This thesis therefore aims at addressing this issue through the design and analysis of robust gametheoretic algorithms for rate-maximization in Gaussian interference channels in the presence of bounded channel uncertainty. A robust rate-maximization game is formulated for the single-antenna frequency-selective Gaussian interference channel under bounded channel uncertainty. The robust-optimization equilibrium solution for this game is independent of the probability distribution of the channel uncertainty. The existence and uniqueness of the equilibrium are studied and sufficient conditions for the uniqueness of the equilibrium are provided. Distributed algorithms to compute the equilibrium solution are presented and shown to have guaranteed asymptotic convergence when the game has a unique equilibrium. The sum-rate and the price of anarchy at the equilibrium of this game are analyzed for the two-user scenario and shown to improve with increase in channel uncertainty under certain conditions. These results indicate that the robust solution moves closer to a frequency division multiple access (FDMA) solution when uncertainty increases. This leads to a higher sum-rate and a lower price of anarchy for systems where FDMA is globally optimal. A robust rate-maximization game for multi-antenna Gaussian interference channels in the presence of channel uncertainty is also developed along similar principles. It is shown that this robust game is equivalent to the nominal game with modified channel matrices. The robust-optimization equilibrium for this game and a distributed algorithm for its computation are presented and characterized. Sufficient conditions for the uniqueness of the equilibrium and asymptotic convergence of the algorithm are presented. Numerical simulations are used to confirm the behaviour of these algorithms. The analytical and numerical results of this thesis indicate that channel uncertainty is not necessarily detrimental, but can indeed result in improvement of performance of networks in particular situations, where the Nash equilibrium solution is quite inefficient and channel uncertainty leads to reduced greediness of users.EThOS - Electronic Theses Online ServiceGBUnited Kingdo