Classifying Political Similarity of Twitter Users

The emergence of large scale social networks has led to research in approaches to classify similar users on a network. While many such approaches use data mining techniques, recent efforts have focused on measuring the similarity of users using structural properties of the underlying graph representing the network. In this paper, we identify the Twitter followers of the 2016 presidential candidates and classify them as Democrat, Republican or Bipartisan. We did this by designing a new approach to measuring structural similarity, PolRANK. PolRANK computes the similarity of a pair of users by accounting for both the number of candidates they follow from each party and the specific candidates they follow. To test our algorithm, we crawled a data set of all followers of every presidential candidate in June 2015 and then ran experiments on a random subset of 10% of that data. When tested against similar algorithms, PolRANK outperforms SimRank[1], P-Rank[2] and Cosine-Similarity as it is more efficient when used in large data sets. This efficiency is due to PolRANK’s ability to calculate similarity independent of other users. The time complexity of P-Rank is O(n4) while the time complexity of PolRANK is O(n3)

Understanding the effect of IS change: A social capital perspective

This paper argues that by adopting a social capital perspective of the effects of Information Systems (IS) implementation we are able to provide insights into both human and technological aspects of change interventions. This theoretical paper is firmly embedded within socio-technical approaches and aims to conceptualise and address concerns relating to organisational issues of systems and technology management. IS implementation inevitably impacts upon the existing work and social relationships within organisations where there is the potential experience of reduced system effectiveness through a periodic lack of coordination and control. It is evident, in this respect, that the adoption of IS produces challenges to human collaboration which clearly add a social dimension to systems management. The paper broadly outlines how a social capital perspective may determine the areas of focus from IS-driven organisational change and provide indications about potential ways to improve system and technology adoption. This may support more appropriate designs for change interventions that enable organisations to accrue more value from IS

Sustainable car life cycle design, taking inspiration from natural systems and thermodynamics

This paper exposes the search for a tool and method, which from a systems approach, adopts the rules and logic that govern our physical context (biosphere) in order to provide guidelines that the car industry could use to achieve an ideal state for ecological, economical and social sustainability

Exploring tradeoffs in pleiotropy and redundancy using evolutionary computing

Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms. In this paper we use evolutionary computation to study the trade-off between pleiotropy and redundancy in a client-server based network. Pleiotropy is a term used to describe components that perform multiple tasks, while redundancy refers to multiple components performing one same task. Pleiotropy reduces cost but lacks robustness, while redundancy increases network reliability but is more costly, as together, pleiotropy and redundancy build flexibility and robustness into systems. Therefore it is desirable to have a network that contains a balance between pleiotropy and redundancy. We explore how factors such as link failure probability, repair rates, and the size of the network influence the design choices that we explore using genetic algorithms.Comment: 10 pages, 6 figure

IMPLEMENTATION BLUETOOTH LOW ENERGY ON THE MEDICAL SUPPORTING DEVICE

Non-compliance from a patient is a serious problem, with a big consequence in case of health and costs. ECCT B.V. tries to develop some supporting devices expected to help patients to report their compliance. One of these supporting devices is a dispenser. These devices record data about time and other clinically relevant information. The electronic circuit also contains RFID technology, it is possible for Near Field Communication (NFC) enabled mobile telephone or a NFC reader to take the stored data. If we compare Bluetooth with NFC, Bluetooth has an advantage in range, Bluetooth has wider range than NFC. When the dispenser starts using BLE, there is no need for us to make the dispenser close to BLE enabled mobile phone or reader, we can separate it in some distance. The antenna design was done by using CST Microwave Studio 2009, provided by Fontys Hogescholen. In this project, author uses printed Inverted F Antenna as the antenna. Inverted F Antenna has some advantages and also fulfills the requirements for transmitting and receiving data. From the simulation we can find out there is 7 parameters affected on the antenna performance. Length is one of the parameters affected to the antenna resonant frequency. From the measurement result, Bluetooth Low Energy for “Firefly” can reach 10 meters range and can stand for 3 years using coin cell battery. In the future, the “Firefly” should be developed in thinner PCB, 0.5mm PCB thickness, because dispenser requires 0.5 mm PCB thickness for the perfect final product. Keywords: Near Field Communication, Bluetooth Low Energy, and Antenn

Increasing Sustainability of Logistic Networks by Reducing Product Losses: A Network DEA Approach

This paper considers a multiproduct supply network, in which losses (e.g., spoilage of perishable products) can occur at either the nodes or the arcs. Using observed data, a Network Data Envelopment Analysis (NDEA) approach is proposed to assess the efficiency of the product flows in varying periods. Losses occur in each process as the observed output flows are lower than the observed input flows. The proposed NDEA model computes, within the NDEA technology, input and output targets for each process. The target operating points correspond to the minimum losses attainable using the best observed practice. The efficiency scores are computed comparing the observed losses with the minimum feasible losses. In addition to computing relative efficiency scores, an overall loss factor for each product and each node and link can be determined, both for the observed data and for the computed targets. A detailed illustration and an experimental design are used to study and validate the proposed approach. The results indicate that the proposed approach can identify and remove the inefficiencies in the observed data and that the potential spoilage reduction increases with the variability in the losses observed in the different periods.Ministerio de Ciencia DPI2017-85343-PFondo Europeo de Desarrollo Regional DPI2017-85343-