Papers by Isabella Peters
International Semantic Web Conference, 2008
This paper presents TagCare 1 as a tool which allows users to maintain their personal tagging voc... more This paper presents TagCare 1 as a tool which allows users to maintain their personal tagging vocabulary and to carry it along different platforms. TagCare collects the tags which a user has applied within several social software tools. These personal tags may be edited and structured, e.g. interrelated with hierarchical and other semantic relations.
The cover was designed by Balázs Schlemmer, with use of the photos of Graeme Williams / MediaClub... more The cover was designed by Balázs Schlemmer, with use of the photos of Graeme Williams / MediaClubSouthAfrica.
journal evaluation makes use of cumulated content descriptions of single articles. These can eith... more journal evaluation makes use of cumulated content descriptions of single articles. These can either be represented by author-generated keywords, professionally indexed subject headings, automatically extracted terms or by reader-generated tags as used in social bookmarking systems. It is assumed that particularly the users' view on article content differs significantly from the authors' or indexers' perspectives. To verify this assumption, title
EGovernment is an important aspect of the development of Informational World Cities, i.e. prototy... more EGovernment is an important aspect of the development of Informational World Cities, i.e. prototypical cities of the knowledge society (such as Singapore, Seoul, or Hong Kong). Government 2.0 is a generic term and describes government activities which are built on technology and social media services. But which social media services are really used by governments? An empirical investigation of 31 Informational World Cities shows which platform is popular among users and cities for government-user-interaction. Acknowledgement: The authors are supported by the Strategischer Forschungsfonds of the Heinrich Heine University Düsseldorf (F2012279-10). We thank Wolfgang G. Stock for valuable discussions on former versions of this paper and Chang Kaiser for her support in analyzing the Chinese websites.
Testing collaborative filtering against co-citation analysis and bibliographic coupling for academic author recommendation
Recommendation systems have become an important tool to overcome information overload and help pe... more Recommendation systems have become an important tool to overcome information overload and help people to make the right choice of needed items, which can be e.g. documents, products, tags or even other people. Last attribute has aroused our interest: Scientists are in need of different collaboration partners, i.e. experts for a special topic similar to their research field, to work with. Co-citation and bibliographic coupling have become standard measurements in scientometrics for detecting author similarity, but it can be laborious to elevate these data accurately. As collaborative filtering (CF) has proved to show acceptable results in recommender systems, we investigate in the comparison of scientometric analysis methods and CF methods. We use data from the social bookmarking service CiteULike as well as from the multi-discipline information services Web of Science and Scopus to recommend authors as potential collaborators for a target scientist. The paper aims to answer how a re...
Informetrics, bibliometrics, altmetrics: What is it all about?
Proceedings of the American Society for Information Science and Technology, 2014
ABSTRACT The aim of this SIG/MET-sponsored panel is to discuss major informetric topics including... more ABSTRACT The aim of this SIG/MET-sponsored panel is to discuss major informetric topics including the impact factor, the h-index, sources of citation data, the Eigenfactor, the making and use of base maps of science, application of informetrics (e.g., for retrieval purposes), altmetrics, and future perspectives on bibliometrics. The panel especially addresses attendees who want to expand their knowledge in this area or got in touch with it only recently.
2014 47th Hawaii International Conference on System Sciences, 2014
Social media platforms are increasingly being used by governments to foster user interaction. Par... more Social media platforms are increasingly being used by governments to foster user interaction. Particularly in cities with enhanced ICT infrastructures (i.e., Informational World Cities) and high internet penetration rates, social media platforms are valuable tools for reaching high numbers of citizens. This empirical investigation of 31 Informational World Cities will provide an overview of social media services used for governmental purposes, of their popularity among governments, and of their usage intensity in broadcasting information online.
This paper informetrically monitors Twitter activities that are related to 31 Informational World... more This paper informetrically monitors Twitter activities that are related to 31 Informational World Cities. It is a big data analysis of 18 million tweets that have been downloaded via Twitter's Search API (content-based approach) and Twitter's Streaming API (location-based approach). The Tweets have been filtered either by search terms (i. e. the city's name) or geo-locations (coordinates of a city). The analysis was made by mainly using quantitative statistic methods endorsed by several qualitative investigations. It shows that tweet activity related to Informational World Cities varies from city to city. A city's area or its size of population does not necessarily affect these activities. Factors like the penetration rate of smart phones, number of tourists etc. influences the amount of tweets that are produced in or about a city. Topics are mostly event-driven or related to sports and politics. City names are popular in spam tweets and they are often chained to draw the attention to messages which are not city-related at all (e. g., religious comments). The paper presents an approach for quantitatively analysing tweeting behaviour in Information World Cities to prospectively find distinct indicators of how Twitter activities in Informational World Cities can be classified and how they vary between the different cities.
Altmetrics for large, multidisciplinary research groups: A case study of the Leibniz Association
Altmetrics for large, multidisciplinary research groups: Comparison of current tools
Social Media Use and Outreach of Selected Public Libraries in Informational World Cities
The paper presents results of a study on 31 public libraries in Informational World Cities regard... more The paper presents results of a study on 31 public libraries in Informational World Cities regarding their social media use and outreach. The analysis focuses on prototypical social media-platforms used for information dissemination and library patron’s engagement (i.e., Facebook, Sina Weibo, Twitter and YouTube). The results of the statistical analysis of the social media activity carried out from public libraries and users show that social media-posting frequency strongly varies between libraries. Strikingly, similar posting behavior (i.e. frequency and content) results in different numbers of fans and distribution ratios, i.e. forwarding libraries’ content via Facebook or retweets.
Government activities in social media
Studien zeigen, dass die Form von dokument-spezifischen Tag-Verteilungen in Broad Folksonomies na... more Studien zeigen, dass die Form von dokument-spezifischen Tag-Verteilungen in Broad Folksonomies nach einem gewissen Zeitraum stabil bleibt, sich also auch mit steigender Anzahl von Tags und Taggern nicht ändert. Die Frage, welche Bedingungen zur Stabilität führen, ist dagegen noch nicht in der Forschung geklärt. Daher wird hier eine Methode zur Bestimmung von Stabilität erläutert sowie der T-Index als Stabilitätsindikator eingeführt.
Social tagging is a widespread activity for indexing usergenerated content on Web services. This ... more Social tagging is a widespread activity for indexing usergenerated content on Web services. This paper summarizes research on folksonomies and their retrieval effectiveness. A TREC-like retrieval test was conducted with tags and resources from the social bookmarking system delicious, which resulted in recall and precision values for tag-only searches. Moreover, several experimental tag-based databases (i.e., power tags, Luhn-tags) have been tested regarding their retrieval effectiveness. Test results show that folksonomies work best with short queries although recall values are high and precision values are low. Here, a search function "power tags only" greatly enhances precision values.
Twitter in scholarly communication
Scholars are quickly moving toward a universe of web-native communication
Purpose -This paper analyzes the tweeting behavior of 37 astrophysicists on Twitter and compares ... more Purpose -This paper analyzes the tweeting behavior of 37 astrophysicists on Twitter and compares their tweeting behavior with their publication behavior and citation impact to show whether they tweet research-related topics or not. Design/methodology/approach -Astrophysicists on Twitter are selected to compare their tweets with their publications from Web of Science. Different user groups are identified based on tweeting and publication frequency. Findings -A moderate negative correlation (ρ=-0.390*) is found between the number of publications and tweets per day, while retweet and citation rates do not correlate. The similarity between tweets and abstracts is very low (cos=0.081). User groups show different tweeting behavior such as retweeting and including hashtags, usernames and URLs. Research limitations/implications -The study is limited in terms of the small set of astrophysicists. Results are not necessarily representative of the entire astrophysicist community on Twitter and they most certainly do not apply to scientists in general. Future research should apply the methods to a larger set of researchers and other scientific disciplines. Practical implications -To a certain extent, this study helps to understand how researchers use Twitter. The results hint at the fact that impact on Twitter can neither be equated with nor replace traditional research impact metrics. However, tweets and other so-called altmetrics might be able to reflect other impact of scientists such as public outreach and science communication. Originality/value -To the best of our knowledge, this is the first in-depth study comparing researchers' tweeting activity and behavior with scientific publication output in terms of quantity, content and impact.
Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature
Scientific bloggers under the altmetric microscope
Proceedings of the American Society for Information Science and Technology, 2012
ABSTRACT In this paper we present a preliminary altmetric study of scientific bloggers and how th... more ABSTRACT In this paper we present a preliminary altmetric study of scientific bloggers and how they use different social media (i.e. blogs, social bookmarking systems, and Twitter) for scholarly communication, information dissemination, and creation of visibility. We analyzed linking behavior in blog posts and tweets, number of comments assigned to blog posts and share of publications found in social bookmarking systems. Results show that heavy tweeting and blogging do not result in large numbers of followers and comments, tweets and blog posts contain lots of URLs and self-citations, and share of publications found in social bookmarking systems varies between different platforms.
Experten-Empfehlungen mit Social Bookmarking-Services
i-com, 2010
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Papers by Isabella Peters