TwitterMancer: predicting interactions on Twitter accurately

This paper investigates the interplay between different types of user interactions on Twitter, with respect to predicting missing or unseen interactions. For example, given a set of retweet interactions between Twitter users, how accurately can we predict reply interactions? Is it more difficult to predict retweet or quote interactions between a pair of accounts? Also, how important is time locality, and which features of interaction patterns are most important to enable accurate prediction of specific Twitter interactions? Our empirical study of Twitter interactions contributes initial answers to these questions.We have crawled an extensive data set of Greek-speaking Twitter accounts and their follow, quote, retweet, reply interactions over a period of a month. We find we can accurately predict many interactions of Twitter users. Interestingly, the most predictive features vary with the user profiles, and are not the same across all users. For example, for a pair of users that interact with a large number of other Twitter users, we find that certain “higher-dimensional” triads, i.e., triads that involve multiple types of interactions, are very informative, whereas for less active Twitter users, certain in-degrees and out-degrees play a major role. Finally, we provide various other insights on Twitter user behavior. Our code and data are available at https://github.com/twittermancer/.Accepted manuscrip

Building online employability: a guide for academic departments

This guide will help academic departments to support students to think about their careers and to use the online environment wisely. Used badly the array of social media and online technologies can seriously disadvantage a students’ career development, but if used well they can support students to find out about and transition into their future career.This work was funded by the University of Derby’s Research for Teaching and Learning programme

Interim evaluation of lifelong learning networks

The Open University's Centre for Higher Education Research and Information was commissioned in June 2007 to undertake a formative evaluation of Lifelong Learning Networks (LLNs). Research to inform the interim evaluation has been two-fold: desk research of LLN documentation and visits to and interviews with personnel involved in eight LLNs. The report's main conclusion was that LLNs are making progress in terms of encouraging institutions to offer curricula and put in place procedures that, in the fullness of time, could make a significant difference to the coherence, clarity and certainty of progression opportunities for vocational learners. However, it went on to say that it is too soon to be able to make substantive and well-evidenced statements about LLNs' overall progress on meeting this overarching objective of the LLN initiative

Research in multi-cultural relationship building

This study aims to explore the ‘missing gap' between the values of an Accounting firm and the preference shown by Maaori on how they would like to be approached when wanting to build a trusted relationship within a business sense. This study makes use of qualitative approaches in which data is collected primarily through interviews and analysed to produce results and recommendations. The study found that Maaori would like to be approached in a way that makes sense to them and also identifies with their cultural proceedings. It also provides insight into how important trust is when establishing a relationship with Maaori. The study recommends that further studies conducted should interview a wider variety of focus groups to add different elements to this research and that FIRM A's small business department's offerings do not align with what Maaori want so need to be rethought to adapt to Maaor expectations

Expanding the education role to narrow the audit expectation gap: exploring the expectation gap’s existence among accounting students

Society perceives and expects more from auditor’s than what auditors can actually achieve. Society has been found to misperceive the role of an auditor, in particular, in regards to fraud, internal controls and going concern issues. Society’s differing perceptions and expectations of the auditing profession is known as the audit expectation gap. This study aims to explore the audit expectation gap’s existence among Wintec accounting students and the effect that education has on the audit expectation gap. This research intends to answer two research questions. First, does an audit expectation gap exist among Wintec accounting students? Second, what is the effect of education on the audit expectation gap? To answer these research questions, 20 Wintec accounting students have been interviewed. Ten students who have received an audit education, and ten students who have not received audit education. Qualitative data was collected from these interviews and analysed using a mixed methods approach. This study found that an audit education exists among Wintec accounting students. This study also found that education reduced the audit expectation gap, in particular, the deficient performance gap and the communication gap. However, while education did reduce the audit expectations gap, it was not eliminated. This study recommends that Wintec provides a more basic auditing education during introductory accounting papers, educating students on the role of an auditor. This study also recommends that education focuses on the practical use of an audit report, to increase student’s understandings of the information in the audit report, and how this information is communicated. Thus, the researcher believes that these recommendations will help to further reduce the audit expectation

Analysis and optimization of distribution logistics for Just Water Company

This report details the various factors that affect the operational efficiency of distribution logistics. The research aimed at studying the existing components involved in the distribution logistics of Just Water. Distribution logistics begins at the end of the production line where the finished product is emerged until it reaches the customers. The literature review explains the key components of distribution logistics in an organisation. This research analyses the existing components of the distribution logistics of Just Water and discusses possible improvements that can be adapted to increase the overall efficiency of the distribution logistics operation. The background of the research is that Just Water faces difficulty with delivering its products on time during peak seasons. The research tries to unveil the reason for this delay and finds that the demands for extra water-out deliveries are interfering with the normal runs of the trucks, therein delaying their regular schedule. One another cause was found to be the shortage of supplies due to slow or less return logistics. The research suggests a change in the existing drop shipping distribution model and recommends the adaptation of intermediary or multi-stage distribution networks, possibly the ‘Last Mile Delivery’ configuration in order to reduce delivery lead-time, reduce transportation costs and improve customer satisfaction

Bayesian anomaly detection methods for social networks

Learning the network structure of a large graph is computationally demanding, and dynamically monitoring the network over time for any changes in structure threatens to be more challenging still. This paper presents a two-stage method for anomaly detection in dynamic graphs: the first stage uses simple, conjugate Bayesian models for discrete time counting processes to track the pairwise links of all nodes in the graph to assess normality of behavior; the second stage applies standard network inference tools on a greatly reduced subset of potentially anomalous nodes. The utility of the method is demonstrated on simulated and real data sets.Comment: Published in at http://dx.doi.org/10.1214/10-AOAS329 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org