Journal of the American Society for Information Science - Special topic issue on the history of documentation and information science: part II
The Journal of Machine Learning Research
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Relevance judgment: What do information users consider beyond topicality?
Journal of the American Society for Information Science and Technology - Research Articles
Analysis of topological characteristics of huge online social networking services
Proceedings of the 16th international conference on World Wide Web
Journal of the American Society for Information Science and Technology
Novelty and diversity in information retrieval evaluation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Topic and role discovery in social networks with experiments on enron and academic email
Journal of Artificial Intelligence Research
Learning author-topic models from text corpora
ACM Transactions on Information Systems (TOIS)
User profiles for personalized information access
The adaptive web
The adaptive web
Find me if you can: improving geographical prediction with social and spatial proximity
Proceedings of the 19th international conference on World wide web
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Distance matters: geo-social metrics for online social networks
WOSN'10 Proceedings of the 3rd conference on Online social networks
Predicting tie strength in a new medium
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Bayesian Reasoning and Machine Learning
Bayesian Reasoning and Machine Learning
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Far from the eyes, close on the web: impact of geographic distance on online social interactions
Proceedings of the 2012 ACM workshop on Workshop on online social networks
Spatio-temporal small worlds for decentralized information retrieval in social networking
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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Relations between the dimension of social tie strength and the dimension of value of communicated information have been investigated in the past by researchers such as Mark Granovetter. Also the connection between spatial distance and the existence of ties in social networks with small world characteristics has been discussed by Liben-Nowell and others. In this contribution we aim at investigating the relation between the dimensions spatial distance and non-binary, continuous value of information. Furthermore, we discuss the connection between non-binary, continuous measures for value of information and the dimension of non-binary social, continuous measures of tie strength. We also especially investigate the interrelation between all three dimensions in Social Networking and especially the research question of whether a spatial dependency of the inverse relation between social tie strength and value of information exists which may be named 'Geo-Granovetter effect'. As a basis for our empirical investigations we used a large Twitter dataset, because this Social Medium allows us to simultaneously access spatial, social and informational dimensions of interaction and thus to simultaneously model these three dimensions for Social Networking. We found that the social tie strength decreases as expected with increasing spatial distance among participants in our data-set. We also observed that in general the information value decreases when the tie strength increases and that the value of information is independent from the distance. According to our findings, Social Media such as Twitter don't exhibit a Geo-Granovetter effect.