Proceedings of WebSci’18 Main Conference Poster Session
The Web Science conference welcomes participation from all disciplines including, but not limited to, art, computer and information sciences, communication, economics, humanities, informatics, law, linguistics, philosophy, political science, psychology, and sociology, in pursuit of an understanding of the Web. This conference is unique in bringing these disciplines together in creative and critical dialogue. We particularly welcome contributions that seek to cross traditional disciplinary boundaries.
In this paper we show that for a given co-authorship network we could construct a recommender system for searching collaborators with similar research interests defined via keywords and topic modelling. We suggest new link embedding method and evaluate our model on National Research University Higher School of Economics (NRU HSE) co-authorship network.
This paper presents the results of our study of educational migration flows between Russian Federation and China. Using data from the most popular among Russian-speakers Social Networking Site VK, we explore "digital footprints" of migration, analyzing the factors influencing the size of migration flows from different Russian cities to China. We take into account different groups of parameters, in particular, geographic proximity of a city to China and to Russian educational centers, institutional presence of China, and Chinese web presence in the particular city. Resulting conditional inference tree with the relative number of educational migrants from each city as the outcome has R2 = .86
Welcome to the ACM Web Science 2016 Conference. This is the 8th conference of the series and the 6th to be sponsored by ACM through the Special Interest Group on Hypertext, Hypermedia and the Web (SIGWEB). The Conference continues to acknowledge the centrality of the Web as a socially constructed artifact, focusing on the study of information networks, social communities, organizations, applications, and policies that shape and are shaped by theWeb. The conference provides a unique forum for researchers from different backgrounds, with most papers adopting perspectives that bridge between two (or more) disciplines like computer science, economics, education, information science, law, library science, political science and other social sciences, thus fostering and supporting a thriving interdisciplinary community of Web Science.
Internet Studies is an interdisciplinary and multidisciplinary field of fundamental and applied research that integrate different research disciplines with a common object, that is the Internet. This review article gives a definition and a brief description of the structure of Internet Studies as part of the social sciences and introduces research agenda of this field, including most cutting edge research issues. The agenda of Internet Studies related to classical sociological issues are analyzed in more detail: inequality, online communities and social capital as well as topics related to the study of transformations in different spheres of society - politics, public health and medicine, education. Two main theoretical approaches are briefly described, within which the influence of the Internet on society is interpreted: the network society theory and critical theory of the Internet and society. We conclude that the present directions of Internet research have many intersections with each other, and the perspective of a more complete study of the mechanisms, that mediate social changes related to the Internet and connect online and offline sociality into a single space, opens at these intersections.
The proceedings contain 65 papers. The topics discussed include: understanding political turbulence: the data science of politics; why we post - the comparative anthropology of social media; applying machine learning to ads integrity at Facebook; large-scale analytics of dynamics of choice among discrete alternatives; privacy and internet governance; computational social sciences: a bricolage of approaches; community detection: from plain to attributed complex networks; utilizing online qualitative methods for web science; likeology: modeling, predicting, and aggregating likes in social media; understanding video-ad consumption on YouTube: a measurement study on user behavior, popularity, and content properties; talking climate change via social media: communication, engagement and behavior; and spreading the news: how can journalists gain more engagement for their tweets?.
This year's edition of the WebSci conference (WebSci'18) celebrates the ten year anniversary of the unique conference series where a multitude of disciplines converge in a creative and critical dialogue with the aim of understanding the Web and its impacts.
The WebSci conference brings together researchers from multiple disciplines, like computer science, sociology, economics, information science, anthropology and psychology. Web Science is the emergent study of the people and technologies, applications, processes and practices that shape and are shaped by the World Wide Web. Web Science aims to draw together theories, methods and findings from across academic disciplines, and to collaborate with industry, business, government and civil society, to develop our knowledge and understanding of the Web: the largest socio-technical network in human history.
This year we were very pleased to receive 113 submissions for the regular research track. Given the high quality of submissions, it has been a hard job to decide which of the contributions to select for the conference. We are grateful for the support of the Program Committee which consisted of 10 senior members and 35 regular members. All PC members worked hard, based on which we could select an interesting, varied, exciting program comprising 30 long and 15 short papers.
This paper provides mapping of ethnic themes and topics associated with the Caucasus on social networking site VKontakte popular in Eurasia. We collected data on virtual communities associated with major ethnic (Armenian, Georgian and Azerbaijani) and supra-ethnic ("Pan-Caucasian") groups. We combine network analysis (based on group co-membership) with LDA topic modeling (based on posts) to identify the ideologies and cultural features which unite and divide virtual Caucasus. The gap between warring nations is bridged by Pan-Caucasian virtual groups with no political ideology.
This paper is concerned with online communication of apartment buildings' residents on general purpose social networking site (SNS) VKontakte (VK), focusing on how groups' participants use instruments of SNS to separate place-based discussions and participation in wider community initiatives. With the help of topic modeling algorithm LDA, we analyzed posts collected from online groups related to apartment complexes in Saint-Petersburg to reveal differences of communication in open groups and restricted access groups. We also looked at overlaps between local groups of apartment buildings and city-wide movements. Our study shows that inside SNS there is a functional differentiation between restricted access groups and open groups, which have different audiences and communicative strategies. Restricted access (private) groups play an important role in the formation of neighbors' communities of trust and, supposedly, can be useful substitutes of face-to-face interaction for people moving into new buildings. Open (public) groups function as public forums for fostering neighbors' cooperation and attracting attention of broader public to local issues and conflicts.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.