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Communication in social networking has become an important part of life for most modern people. Sometimes people do not even think that interacting with other users, as well as sharing their views and interests online, they create a virtual circle of friends, uniting people with similar interests. Information about these user groups is very important, for example in the statistical analysis. The info...
Sustainable living, i.e., Living within the bounds of the available environmental, social, and economic resources, is the focus of many present-day social and scientific discussions. But what does sustainability mean within the context of Software Product Line Engineering (SPLE)? And what does SPLE do for sustainable living? In this paper we take the first step towards identification of the sustainability-related...
Companies worldwide are nowadays facing a growing pressure to reduce environmental and social impacts of their production and distribution activities. However, the strategies employed to achieve these goals are not clearly defined because of the (very often) conflicting relations with financial goals (i.e., economic dimension). These three dimensions of performance measurement are used in the literature...
The research area systems-of-systems engineering has increased rapidly over the last decade and now contains a substantial body of literature. To get an overview of the field, a systematic mapping of the literature has been done, covering over 3000 papers. It revealed a field massively dominated by US researchers, with an emphasis on military and space systems. A large number of people are involved,...
In recent times, gamification has become a popular technique to aid online communities stimulate active member participation. Gamification promotes a reward-driven approach, usually measured by response-time. Possible concerns of gamification could a trade-off between speedy over quality responses. Conversely, bias toward easier question selection for maximum reward may exist. In this study, we analyze...
Recent research has shown that drivers of success in online question answering encompass presentation quality as well as temporal and social aspects. Yet, we argue that also the emotional style of a technical contribution influences its perceived quality. In this paper, we investigate how Stack Overflow users can increase the chance of getting their answer accepted. We focus on actionable factors...
The ROS ecosystem is an interconnected web of packages, nodes and people with no efficient means to compare, assess or visualize them. We develop a set of tools consisting of various metrics, a data visualization web app, and an active monitoring system. With these tools, we measure the current state of the ecosystem as well as determine where the community should direct their efforts. We also encourage...
The criminal justice system in Charlottesville/Albemarle, VA, is a national leader in promoting Evidence Based Decision Making (EBDM)—relying on data to support decisions and evaluate policies and practices rather than on anecdotes or judgment alone. To implement EBDM more effectively, local criminal justice authorities—police, jail, pre- and post-trial services, and courts—are working together to...
This paper presents two families of distances in the space of high order proximity networks. The distances measure differences between networks and are shown to be valid metrics in the space of high order proximity networks modulo permutation isomorphisms. Practical implications are explored by comparing the coauthorship networks of two popular signal processing researchers. The metrics succeed in...
Code clone analysis is a very active subject of study, and research on inter-project code clones is starting to emerge. In the context of software package repositories specifically, developers are confronted with the choice between depending on code implemented in other packages, or cloning this code in their own package. This article presents an empirical study of identical function clones in the...
The proliferation of social media has inundated a gamut of research purviews e.g. Node classification, Community analysis, Behavioral psychological in social media. Out of these research issues the study of role of individual in terms of influential phrase plays a crucial role in deciding the future and popularity of any online social community. With the deep analysis of the community, the various...
Given a real world graph, how can we find a large subgraph whose partition quality is much better than the original? Graph partitioning has received great attentions in graph mining, and especially balanced graph partitioning is required in many real world applications. However, the balanced graph partitioning is known to be NP-hard, and moreover it is known that there is no good cut at a large scale...
The data derived from the social tagging system, known as folksonomy, is a potentially useful source for understanding users' intentions. This study seeks to uncover some of the unexplored areas of folksonomy and examine the plausibility of new ideas for the improvement of personalized search. In particular, we challenge several state-of-the-art algorithms by exploiting folksonomy network structures...
Social wireless and mobile networks have received more attentions over the recent years. Previously, we proposed the Social Relation Opportunistic Routing (SROR) algorithm for mobile social networks, and introduced the social relations and profiles among nodes as the key metrics to compute the optimal forwarding node in routing such that the packet delivery probability is maximized. In this paper,...
There is a growing interest in socio-technical networks that encompass people, process and technology. They capture connections among technical artifacts and human resources. Existing studies have shown that social networks among resources that collaborate to work on a business process instance have an impact on the performance of the instance. Hence, the social network among the resources should...
Aggregate answer ratings serve as a metric of collective intelligence in social Q&A communities. The patterns by which participants in a social Q&A community rate and recommend answers are analyzed through the lens of first-mover advantage, to address the question of whether the first answer posted has a ratings advantage over those subsequently submitted. As part of a long-term participant...
A scientific domain consists of subfields that can be further refined into specialisations. Specialisations emerge, evolve and consolidate, as reflected in particular in literature development, along a contents-based dimension where important problems are stated and addressed, and along a communal dimension where researchers collaborate and compete to solve those problems. We propose a generic framework...
Many cyber infrastructure and cloud computing systems have been developed and deployed over the past decade. Although use metrics are collected by many of these systems, there is not a clear link from these metrics to the ultimate effectiveness and impact of these systems on science communities. This paper describes a framework we developed that seeks to provide context for use and impact metrics...
In community detection, the theme of correctly identifying overlapping nodes, i.e. nodes which belong to more than one community, is important as it is related to role detection and to the improvement of the quality of clustering: proper detection of overlapping nodes gives a better understanding of the community structure. In this paper, we introduce a novel measure, called cuttability, that we show...
The h-index is a very well known metric used to measure scientific throughput, but it also has well known limitations. In this paper we use a metric based on pagerank algorithm, which we call the p-index, to compare the performance of scientists. We use a real-world dataset to which we apply our analysis: a dataset of scientists from the field of quantum game theory. This dataset is cured by us for...
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