Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks

Smart networks and services leverage in-network caching to improve transmission efficiency and support large amount of content sharing, decrease high operating costs and handle disconnections. In this paper, we investigate the complex challenges related to content popularity weighting process in collaborative caching algorithm in heterogeneous mobile disconnection prone environments. We describe a reputation-based popularity weighting mechanism built in information-centric layer of our adaptive collaborative caching framework CafRepCache which considers a realistic case where caching points gathering content popularity observed by nodes differentiates between them according to node's reputation and network's connectivity. We extensively evaluate CafRepCache with competitive protocols across three heterogeneous real-world mobility, connectivity traces and use YouTube dataset for different workload and content popularity patterns. We show that our collaborative caching mechanism CafRepCache balances the trade-off that achieves higher cache hit ratio, efficiency and success ratios while keeping lower delays, packet loss and caching footprint compared to competing protocols across three traces in the face of dynamic mobility of publishers and subscribers

Crowdsourcing as a support to solving complex problems in entrepreneurial settings

1Dottorato di Ricerca in Management (XXVIII ciclo), LUISS Guido Carli, Roma, 2017. Relatori: Prof. Francesco Rullani, Prof. Marion Poetz (Copenhagen Business School).openCrowdsourcing is a newly-developed field that has helped a number of organizations to solved complex problems concerning quantities of information and resource accessibility. Many entrepreneurs have utilized crowdsourcing to their benefit, bypassing traditional forms of fundraising in order to increase their probability of success. Paper 1 will look specifically at the ways in which crowdsourcing can perform such a role, supporting the entrepreneur through each phase of the entrepreneurial process. Paper 2 will expand on this idea by exploring the effects that crowdsourcing can have on a company’s performance. Looking specifically at data provided by AngelList, a popular crowdsourcing platform, we’ll attempt to analyze the benefits that the technology has had on businesses by comparing crowdsourcing-based investment paths to those of traditional investors. Specifically, we measured the performance of both traditional and crowdsourcing-base business ventures over a 2-year period, using data extracted from Mattermark. We aim to shed light, here, on the ability of crowdsourcing to produce better performance in the medium-term. Paper 3 will investigate the effects that crowd size and diversity can have on the performance of a crowdsourced venture. AngelList’s data set will be useful in unpacking the relationship between the volume and diversity of a syndicate’s backers to see how these attributes can be beneficial or detrimental to a firm. While a significant amount of research has been undertaken around this topic, we have found that there are many gaps in the available literature. Where researchers have written extensively about the potential for crowdsourcing to support the discovery, exploitation and execution of entrepreneurial opportunities, much of this literature does not take into account the nature of currently-used crowdsourcing platforms. Throughout each of these papers, we’ll attempt to expand into the territory left unexplored by existing research, paying specific attention to the individual attributes phase of the entrepreneurial model.openDottorato di Ricerca in ManagementBALDELLI, FEDERICOBaldelli, Federic

When in doubt ask the crowd : leveraging collective intelligence for improving event detection and machine learning

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Economic resilience and crowdsourcing platforms

The increased interdependence and complexity of modern societies have increased the need to involve all members of a community into solving problems. In times of great uncertainty, when communities face threats of different kinds and magnitudes, the traditional top-down approach where government provides solely for community wellbeing is no longer plausible. Crowdsourcing has emerged as an effective means of empowering communities with the potential to engage individuals in innovation, self-organization activities, informal learning, mutual support, and political action that can all lead to resilience. However, there remains limited resource on the topic. In this paper, we outline the various forms of crowdsourcing, economic and community resilience, crowdsourcing and economic resilience, and a case study of the Nepal earthquake. his article presents an exploratory perspective on the link can be found between crowdsourcing and economic resilience. It introduces and describes a framework that can be used to study the impact of crowdsourcing initiatives for economic resilience by future research. An initial a set of indicators to be used to measure the change in the level of resilience is presented.info:eu-repo/semantics/publishedVersio

Crowdsourcing as a support to solving complex problems in entrepreneurial settings

Crowdsourcing is a newly-developed field that has helped a number of organizations to solved complex problems concerning quantities of information and resource accessibility. Many entrepreneurs have utilized crowdsourcing to their benefit, bypassing traditional forms of fundraising in order to increase their probability of success. Paper 1 will look specifically at the ways in which crowdsourcing can perform such a role, supporting the entrepreneur through each phase of the entrepreneurial process. Paper 2 will expand on this idea by exploring the effects that crowdsourcing can have on a company’s performance. Looking specifically at data provided by AngelList, a popular crowdsourcing platform, we’ll attempt to analyze the benefits that the technology has had on businesses by comparing crowdsourcing-based investment paths to those of traditional investors. Specifically, we measured the performance of both traditional and crowdsourcing-base business ventures over a 2-year period, using data extracted from Mattermark. We aim to shed light, here, on the ability of crowdsourcing to produce better performance in the medium-term. Paper 3 will investigate the effects that crowd size and diversity can have on the performance of a crowdsourced venture. AngelList’s data set will be useful in unpacking the relationship between the volume and diversity of a syndicate’s backers to see how these attributes can be beneficial or detrimental to a firm. While a significant amount of research has been undertaken around this topic, we have found that there are many gaps in the available literature. Where researchers have written extensively about the potential for crowdsourcing to support the discovery, exploitation and execution of entrepreneurial opportunities, much of this literature does not take into account the nature of currently-used crowdsourcing platforms. Throughout each of these papers, we’ll attempt to expand into the territory left unexplored by existing research, paying specific attention to the individual attributes phase of the entrepreneurial model.Crowdsourcing is a newly-developed field that has helped a number of organizations to solved complex problems concerning quantities of information and resource accessibility. Many entrepreneurs have utilized crowdsourcing to their benefit, bypassing traditional forms of fundraising in order to increase their probability of success. Paper 1 will look specifically at the ways in which crowdsourcing can perform such a role, supporting the entrepreneur through each phase of the entrepreneurial process. Paper 2 will expand on this idea by exploring the effects that crowdsourcing can have on a company’s performance. Looking specifically at data provided by AngelList, a popular crowdsourcing platform, we’ll attempt to analyze the benefits that the technology has had on businesses by comparing crowdsourcing-based investment paths to those of traditional investors. Specifically, we measured the performance of both traditional and crowdsourcing-base business ventures over a 2-year period, using data extracted from Mattermark. We aim to shed light, here, on the ability of crowdsourcing to produce better performance in the medium-term. Paper 3 will investigate the effects that crowd size and diversity can have on the performance of a crowdsourced venture. AngelList’s data set will be useful in unpacking the relationship between the volume and diversity of a syndicate’s backers to see how these attributes can be beneficial or detrimental to a firm. While a significant amount of research has been undertaken around this topic, we have found that there are many gaps in the available literature. Where researchers have written extensively about the potential for crowdsourcing to support the discovery, exploitation and execution of entrepreneurial opportunities, much of this literature does not take into account the nature of currently-used crowdsourcing platforms. Throughout each of these papers, we’ll attempt to expand into the territory left unexplored by existing research, paying specific attention to the individual attributes phase of the entrepreneurial model.LUISS PhD Thesi

The Value of Social Media for Predicting Stock Returns - Preconditions, Instruments and Performance Analysis

The cumulative dissertation of Michael Nofer examines whether Social Media platforms can be used to predict stock returns. Market-relevant information is available on various platforms on the Internet, which consist largely of user generated content. For instance, emotions can be extracted in order to identify the investors' risk appetite and in turn the willingness to invest in stocks. Discussion forums also provide an opportunity to extract opinions on certain stocks. Taking Social Media platforms as examples, the dissertation examines the forecasting quality of user generated content on the Internet