@electronic{schneider2012settheoretic, address = {Cambridge}, author = {Schneider, Carsten Q. and Wagemann, Claudius}, format = {ebook}, interhash = {cbc0ba4509c289c3d455b4af0e1d5759}, intrahash = {1633a43d6ace012e5504d79cef1849f1}, isbn = {9781283610834 (Sekundärausgabe)}, partauthors = {
Wagemann, Claudius
Wagemann, Claudius}, primaryauthor = {Schneider, Carsten Q.}, publisher = {Cambridge University Press}, series = {Strategies for social inquiry}, shortsubtitle = {: a guide to qualitative comparative analysis}, shorttitle = {Set-theoretic methods for the social sciences : a guide to qualitative comparative analysis}, subtitle = {[Elektronische Ressource] : a guide to qualitative comparative analysis / Carsten Q. Schneider and Claudius Wagemann}, title = {Set-theoretic methods for the social sciences : a guide to qualitative comparative analysis}, titlestatement = {Carsten Q. Schneider and Claudius Wagemann}, uniqueid = {HEB32198062X}, url = {http://lib.myilibrary.com?id=392328}, year = 2012 } @book{may2007debate, address = {Oxford [u.a.]}, editor = {May, Steve}, format = {book}, interhash = {69803c8e116b8c47eeb5fd5817a7de44}, intrahash = {97c254711106bd2a94148cd0cd1eda47}, isbn = {0195178823}, partauthors = {
May, Steve
May, Steve (Hrsg.)}, publisher = {Oxford Univ. Pr.}, shorttitle = {The debate over corporate social responsibility}, subtitle = {Steve May ...}, title = {The debate over corporate social responsibility}, titlestatement = {Steve May ...}, uniqueid = {HEB21344352X}, url = {http://scans.hebis.de/HEBCGI/show.pl?21344352_toc.pdf}, year = 2007 } @electronic{hinterholzer2013social, address = {Berlin, Heidelberg}, author = {Hinterholzer, Thomas and Jooss, Mario}, format = {ebook}, interhash = {c93cb9676cb08bbc9253951a8003d86f}, intrahash = {ed962a9fe0f2a5647fb2c6f8ec2bb5f7}, isbn = {3642379524 (Sekundärausgabe)}, primaryauthor = {Hinterholzer, Thomas}, publisher = {Imprint: Springer Gabler}, shorttitle = {Social Media Marketing und -Management im Tourismus}, subtitle = {[Elektronische Ressource] / von Thomas Hinterholzer, Mario Jooss}, title = {Social Media Marketing und -Management im Tourismus}, titlestatement = {von Thomas Hinterholzer, Mario Jooss}, uniqueid = {HEB332097048}, url = {http://scans.hebis.de/HEBCGI/show.pl?33209704_toc.html}, year = 2013 } @inproceedings{zoller2015publication, abstract = {Scholarly success is traditionally measured in terms of citations to publications. With the advent of publication man- agement and digital libraries on the web, scholarly usage data has become a target of investigation and new impact metrics computed on such usage data have been proposed – so called altmetrics. In scholarly social bookmarking sys- tems, scientists collect and manage publication meta data and thus reveal their interest in these publications. In this work, we investigate connections between usage metrics and citations, and find posts, exports, and page views of publications to be correlated to citations.}, author = {Zoller, Daniel and Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd and Hotho, Andreas}, booktitle = {Proceedings of the 2015 ACM Conference on Web Science}, interhash = {3515b34cd19959cee5fafbf4467a75ed}, intrahash = {548a7010ee2726f28e04e5c6e5fd6e2d}, title = {On Publication Usage in a Social Bookmarking System}, year = 2015 } @article{masbleda2014highly, abstract = {Academics can now use the web and the social websites to disseminate scholarly information in a variety of different ways. Although some scholars have taken advantage of these new online opportunities, it is not clear how widespread their uptake is or how much impact they can have. This study assesses the extent to which successful scientists have social web presences, focusing on one influential group: highly cited researchers working at European institutions. It also assesses the impact of these presences. We manually and systematically identified if the European highly cited researchers had profiles in Google Scholar, Microsoft Academic Search, Mendeley, Academia and LinkedIn or any content in SlideShare. We then used URL mentions and altmetric indicators to assess the impact of the web presences found. Although most of the scientists had an institutional website of some kind, few had created a profile in any social website investigated, and LinkedIn—the only non-academic site in the list—was the most popular. Scientists having one kind of social web profile were more likely to have another in many cases, especially in the life sciences and engineering. In most cases it was possible to estimate the relative impact of the profiles using a readily available statistic and there were disciplinary differences in the impact of the different kinds of profiles. Most social web profiles had some evidence of uptake, if not impact; nevertheless, the value of the indicators used is unclear.}, author = {Mas-Bleda, Amalia and Thelwall, Mike and Kousha, Kayvan and Aguillo, IsidroF.}, doi = {10.1007/s11192-014-1345-0}, interhash = {5110401b47f90128cbe885cf441ab7fb}, intrahash = {9fa40f587b142513785037b67040abe4}, issn = {0138-9130}, journal = {Scientometrics}, language = {English}, number = 1, pages = {337-356}, publisher = {Springer Netherlands}, title = {Do highly cited researchers successfully use the social web?}, url = {http://dx.doi.org/10.1007/s11192-014-1345-0}, volume = 101, year = 2014 } @article{sun2013social, author = {Sun, Xiaoling and Kaur, Jasleen and Milojevic, Stasa and Flammini, Alessandro and Menczer, Filippo}, comment = {10.1038/srep01069}, interhash = {5cd31392e997555d78596f962044f84b}, intrahash = {ed28353b082f3ccbd23ea85ea9d7c8e5}, journal = {Sci. Rep.}, month = jan, publisher = {Macmillan Publishers Limited. All rights reserved}, title = {Social Dynamics of Science}, url = {http://dx.doi.org/10.1038/srep01069}, volume = 3, year = 2013 } @inproceedings{barilan2012beyond, abstract = {Traditionally, scholarly impact and visibility have been measured by counting publications and citations in the scholarly literature. However, increasingly scholars are also visible on the Web, establishing presences in a growing variety of social ecosystems. But how wide and established is this presence, and how do measures of social Web impact relate to their more traditional counterparts? To answer this, we sampled 57 presenters from the 2010 Leiden STI Conference, gathering publication and citations counts as well as data from the presenters' Web "footprints." We found Web presence widespread and diverse: 84% of scholars had homepages, 70% were on LinkedIn, 23% had public Google Scholar profiles, and 16% were on Twitter. For sampled scholars' publications, social reference manager bookmarks were compared to Scopus and Web of Science citations; we found that Mendeley covers more than 80% of sampled articles, and that Mendeley bookmarks are significantly correlated (r=.45) to Scopus citation counts.}, author = {Bar-Ilan, Judit and Haustein, Stefanie and Peters, Isabella and Priem, Jason and Shema, Hadas and Terliesner, Jens}, booktitle = {Proceedings of 17th International Conference on Science and Technology Indicators, Montréal: Science-Metrix and OST}, editor = {Archambault, Éric and Gingras, Yves and Larivière, Vincent}, interhash = {5c386f2bfcd8d2052d455c75efb1c727}, intrahash = {42585cbc0a99d9e137f2a3d6cb0239e5}, pages = {98-109}, title = {Beyond citations: Scholars' visibility on the social Web}, url = {http://2012.sticonference.org/Proceedings/vol1/Bar-Ilan_Beyond_98.pdf}, volume = 1, year = 2012 } @inproceedings{saeed2008citation, abstract = {New developments in the collaborative and participatory role of Web has emerged new web based fast lane information systems like tagging and bookmarking applications. Same authors have shown elsewhere, that for same papers tags and bookmarks appear and gain volume very quickly in time as compared to citations and also hold good correlation with the citations. Studying the rank prediction models based on these systems gives advantage of gaining quick insight and localizing the highly productive and diffusible knowledge very early in time. This shows that it may be interesting to model the citation rank of a paper within the scope of a conference or journal issue, based on the bookmark counts (i-e count representing how many researchers have shown interest in a publication.) We used linear regression model for predicting citation ranks and compared both predicted citation rank models of bookmark counts and coauthor network counts for the papers of WWW06 conference. The results show that the rank prediction model based on bookmark counts is far better than the one based on coauthor network with mean absolute error for the first limited to the range of 5 and mean absolute error for second model above 18. Along with this we also compared the two bookmark prediction models out of which one was based on total citations rank as a dependent variable and the other was based on the adjusted citation rank. The citation rank was adjusted after subtracting the self and coauthor citations from total citations. The comparison reveals a significant improvement in the model and correlation after adjusting the citation rank. This may be interpreted that the bookmarking mechanisms represents the phenomenon similar to global discovery of a publication. While in the coauthor nets the papers are communicated personally and this communication or selection may not be captured within the bookmarking systems.}, author = {Saeed, A.U. and Afzal, M.T. and Latif, A. and Tochtermann, K.}, booktitle = {Multitopic Conference, 2008. INMIC 2008. IEEE International}, doi = {10.1109/INMIC.2008.4777769}, interhash = {26d1785cab132d577e377bb5bf299002}, intrahash = {677fc89fef6c79a6a4f25cb25246e38a}, month = dec, pages = {392-397}, title = {Citation rank prediction based on bookmark counts: Exploratory case study of WWW06 papers}, url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4777769}, year = 2008 } @article{haustein2011applying, abstract = {Web 2.0 technologies are finding their way into academics: specialized social bookmarking services allow researchers to store and share scientific literature online. By bookmarking and tagging articles, academic prosumers generate new information about resources, i.e. usage statistics and content description of scientific journals. Given the lack of global download statistics, the authors propose the application of social bookmarking data to journal evaluation. For a set of 45 physics journals all 13,608 bookmarks from CiteULike, Connotea and BibSonomy to documents published between 2004 and 2008 were analyzed. This article explores bookmarking data in \{STM\} and examines in how far it can be used to describe the perception of periodicals by the readership. Four basic indicators are defined, which analyze different aspects of usage: Usage Ratio, Usage Diffusion, Article Usage Intensity and Journal Usage Intensity. Tags are analyzed to describe a reader-specific view on journal content. }, author = {Haustein, Stefanie and Siebenlist, Tobias}, doi = {http://dx.doi.org/10.1016/j.joi.2011.04.002}, interhash = {13fe59aae3d6ef95b529ffe00ede4126}, intrahash = {c3e49ee7b0ed81ecd126d3ef76d5f407}, issn = {1751-1577}, journal = {Journal of Informetrics }, number = 3, pages = {446 - 457}, title = {Applying social bookmarking data to evaluate journal usage }, url = {http://www.sciencedirect.com/science/article/pii/S1751157711000393}, volume = 5, year = 2011 } @phdthesis{jaschke2011formal, address = {Heidelberg}, author = {Jäschke, Robert}, interhash = {dcb2cd1cd72ae45d77c4d8755d199405}, intrahash = {bad02a0bbbf066907ecdee0ecaf9fb80}, isbn = {1-60750-707-2}, publisher = {Akad. Verl.-Ges. AKA}, series = {Dissertations in artificial intelligence}, title = {Formal concept analysis and tag recommendations in collaborative tagging systems}, url = {http://opac.bibliothek.uni-kassel.de/DB=1/PPN?PPN=231779038}, volume = 332, year = 2011 } @inproceedings{lipczak2010impact, abstract = {Collaborative tagging systems are popular tools for organization, sharing and retrieval of web resources. Their success is due to their freedom and simplicity of use. To post a resource, the user should only define a set of tags that would position the resource in the system's data structure -- folksonomy. This data structure can serve as a rich source of information about relations between tags and concepts they represent. To make use of information collaboratively added to folksonomies, we need to understand how users make tagging decisions. Three factors that are believed to influence user tagging decisions are: the tags used by other users, the organization of user's personal repository and the knowledge model shared between users. In our work we examine the role of another potential factor -- resource title. Despite all the advantages of tags, tagging is a tedious process. To minimize the effort, users are likely to tag with keywords that are easily available. We show that resource title, as a source of useful tags, is easy to access and comprehend. Given a choice of two tags with the same meaning, users are likely to be influenced by their presence in the title. However, a factor that seems to have stronger impact on users' tagging decisions is maintaining the consistency of the personal profile of tags. The results of our study reveal a new, less idealistic picture of collaborative tagging systems, in which the collaborative aspect seems to be less important than personal gains and convenience.}, acmid = {1810648}, address = {New York, NY, USA}, author = {Lipczak, Marek and Milios, Evangelos}, booktitle = {Proceedings of the 21st ACM Conference on Hypertext and Hypermedia}, doi = {10.1145/1810617.1810648}, interhash = {a999b5f2eace0cd75028e57261afe3d7}, intrahash = {71dd1a473eaf0af9840758653746c221}, isbn = {978-1-4503-0041-4}, location = {Toronto, Ontario, Canada}, numpages = {10}, pages = {179--188}, publisher = {ACM}, series = {HT '10}, title = {The Impact of Resource Title on Tags in Collaborative Tagging Systems}, url = {http://doi.acm.org/10.1145/1810617.1810648}, year = 2010 } @article{noKey, abstract = {Applications of the Social Web are ubiquitous and have become an integral part of everyday life: Users make friends, for example, with the help of online social networks, share thoughts via Twitter, or collaboratively write articles in Wikipedia. All such interactions leave digital traces; thus, users participate in the creation of heterogeneous, distributed, collaborative data collections. In linguistics, the }, author = {Mitzlaff, Folke and Atzmueller, Martin and Hotho, Andreas and Stumme, Gerd}, doi = {10.1007/s13278-014-0216-2}, eid = {216}, interhash = {7e02f08a123c801c33ac93109394adfb}, intrahash = {5b268a7c5308af783c3028573ffcd0c0}, issn = {1869-5450}, journal = {Social Network Analysis and Mining}, language = {English}, number = 1, publisher = {Springer Vienna}, title = {The social distributional hypothesis: a pragmatic proxy for homophily in online social networks}, url = {http://dx.doi.org/10.1007/s13278-014-0216-2}, volume = 4, year = 2014 } @misc{singer2014hyptrails, abstract = {When users interact with the Web today, they leave sequential digital trails on a massive scale. Examples of such human trails include Web navigation, sequences of online restaurant reviews, or online music play lists. Understanding the factors that drive the production of these trails can be useful for e.g., improving underlying network structures, predicting user clicks or enhancing recommendations. In this work, we present a general approach called HypTrails for comparing a set of hypotheses about human trails on the Web, where hypotheses represent beliefs about transitions between states. Our approach utilizes Markov chain models with Bayesian inference. The main idea is to incorporate hypotheses as informative Dirichlet priors and to leverage the sensitivity of Bayes factors on the prior for comparing hypotheses with each other. For eliciting Dirichlet priors from hypotheses, we present an adaption of the so-called (trial) roulette method. We demonstrate the general mechanics and applicability of HypTrails by performing experiments with (i) synthetic trails for which we control the mechanisms that have produced them and (ii) empirical trails stemming from different domains including website navigation, business reviews and online music played. Our work expands the repertoire of methods available for studying human trails on the Web.}, author = {Singer, Philipp and Helic, Denis and Hotho, Andreas and Strohmaier, Markus}, interhash = {54535487cdfa9024073c07e336e03d70}, intrahash = {07a19041ef1bfd5cef707e03d1510d5e}, note = {cite arxiv:1411.2844}, title = {HypTrails: A Bayesian Approach for Comparing Hypotheses about Human Trails on the Web}, url = {http://arxiv.org/abs/1411.2844}, year = 2014 } @article{strohmaier2014computational, author = {Strohmaier, Markus and Wagner, Claudia}, interhash = {af7197ba15ff513cefe2ae9410e1b050}, intrahash = {6a4109ab23c2a3789d30d44afbfb1ebf}, journal = {Intelligent Systems}, pages = {84-88}, publisher = {IEEE }, title = {Computational Social Science for the World Wide Web}, year = 2014 } @article{mitzlaff2014social, abstract = {Applications of the Social Web are ubiquitous and have become an integral part of everyday life: Users make friends, for example, with the help of online social networks, share thoughts via Twitter, or collaboratively write articles in Wikipedia. All such interactions leave digital traces; thus, users participate in the creation of heterogeneous, distributed, collaborative data collections. In linguistics, the }, author = {Mitzlaff, Folke and Atzmueller, Martin and Hotho, Andreas and Stumme, Gerd}, doi = {10.1007/s13278-014-0216-2}, eid = {216}, interhash = {7e02f08a123c801c33ac93109394adfb}, intrahash = {5b268a7c5308af783c3028573ffcd0c0}, issn = {1869-5450}, journal = {Social Network Analysis and Mining}, language = {English}, number = 1, publisher = {Springer Vienna}, title = {The social distributional hypothesis: a pragmatic proxy for homophily in online social networks}, url = {http://dx.doi.org/10.1007/s13278-014-0216-2}, volume = 4, year = 2014 } @article{mueller-2014b, abstract = {The combination of ubiquitous and social computing is an emerging research area which integrates different but complementary methods, techniques and tools. In this paper, we focus on the Ubicon platform, its applications, and a large spectrum of analysis results. Ubicon provides an extensible framework for building and hosting applications targeting both ubiquitous and social environments. We summarize the architecture and exemplify its implementation using four real-world applications built on top of Ubicon. In addition, we discuss several scientific experiments in the context of these applications in order to give a better picture of the potential of the framework, and discuss analysis results using several real-world data sets collected utilizing Ubicon.}, author = {Atzmueller, Martin and Becker, Martin and Kibanov, Mark and Scholz, Christoph and Doerfel, Stephan and Hotho, Andreas and Macek, Bjoern-Elmar and Mitzlaff, Folke and Mueller, Juergen and Stumme, Gerd}, doi = {10.1080/13614568.2013.873488}, interhash = {6364e034fa868644b30618dc887c0270}, intrahash = {d38f1e01e735253b4cad2c98c1027659}, issn = {1361-4568}, journal = {New Review of Hypermedia and Multimedia}, month = {#mar#}, number = 20, pages = {53--77}, title = {Ubicon and its Applications for Ubiquitous Social Computing}, url = {http://dx.doi.org/10.1080/13614568.2013.873488}, volume = 1, year = 2014 } @proceedings{jannach2014proceedings, bibsource = {dblp computer science bibliography, http://dblp.org}, editor = {Jannach, Dietmar and Freyne, Jill and Geyer, Werner and Guy, Ido and Hotho, Andreas and Mobasher, Bamshad}, interhash = {a1a704ec9c98e6031a1444c6eccc7c0a}, intrahash = {09cb7c63e60bd3c5e6773c9c871a8aba}, publisher = {CEUR-WS.org}, series = {{CEUR} Workshop Proceedings}, title = {Proceedings of the 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) co-located with the 8th {ACM} Conference on Recommender Systems (RecSys 2014), Foster City, CA, USA, October 6, 2014}, url = {http://ceur-ws.org/Vol-1271}, volume = 1271, year = 2014 } @inproceedings{jannach2014sixth, author = {Jannach, Dietmar and Freyne, Jill and Geyer, Werner and Guy, Ido and Hotho, Andreas and Mobasher, Bamshad}, bibsource = {dblp computer science bibliography, http://dblp.org}, booktitle = {Eighth {ACM} Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, {USA} - October 06 - 10, 2014}, doi = {10.1145/2645710.2645786}, interhash = {b465a3695da123d6ee9de1675cb3d480}, intrahash = {5773f799bec72240eda5e6cfb6a03d7b}, pages = 395, title = {The sixth {ACM} RecSys workshop on recommender systems and the social web}, url = {http://doi.acm.org/10.1145/2645710.2645786}, year = 2014 } @inproceedings{doerfel2014social, address = {New York, NY, USA}, author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus}, booktitle = {Proceedings of the 23rd International World Wide Web Conference}, interhash = {9223d6d728612c8c05a80b5edceeb78b}, intrahash = {11fab5468dd4b4e3db662ea5e68df8e0}, publisher = {ACM}, series = {WWW 2014}, title = {How Social is Social Tagging?}, year = 2014 } @article{atzmueller2014ubicon, abstract = {The combination of ubiquitous and social computing is an emerging research area which integrates different but complementary methods, techniques and tools. In this paper, we focus on the Ubicon platform, its applications, and a large spectrum of analysis results. Ubicon provides an extensible framework for building and hosting applications targeting both ubiquitous and social environments. We summarize the architecture and exemplify its implementation using four real-world applications built on top of Ubicon. In addition, we discuss several scientific experiments in the context of these applications in order to give a better picture of the potential of the framework, and discuss analysis results using several real-world data sets collected utilizing Ubicon.}, author = {Atzmueller, Martin and Becker, Martin and Kibanov, Mark and Scholz, Christoph and Doerfel, Stephan and Hotho, Andreas and Macek, Bjoern-Elmar and Mitzlaff, Folke and Mueller, Juergen and Stumme, Gerd}, doi = {10.1080/13614568.2013.873488}, interhash = {6364e034fa868644b30618dc887c0270}, intrahash = {176e4f2816af5fe1630ed65e062900ce}, journal = {New Review of Hypermedia and Multimedia}, number = 1, pages = {53--77}, title = {{Ubicon and its Applications for Ubiquitous Social Computing}}, url = {http://www.tandfonline.com/doi/abs/10.1080/13614568.2013.873488}, volume = 20, year = 2014 }