Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Friendster and publicly articulated social networking
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Homophily in online dating: when do you like someone like yourself?
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Security challenges for reputation mechanisms using online social networks
Proceedings of the 2nd ACM workshop on Security and artificial intelligence
Same places, same things, same people?: mining user similarity on social media
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Signed networks in social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting positive and negative links in online social networks
Proceedings of the 19th international conference on World wide web
PYMK: friend recommendation at myspace
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
OOLAM: an opinion oriented link analysis model for influence persona discovery
Proceedings of the fourth ACM international conference on Web search and data mining
A spectral algorithm for computing social balance
WAW'11 Proceedings of the 8th international conference on Algorithms and models for the web graph
Effects of user similarity in social media
Proceedings of the fifth ACM international conference on Web search and data mining
Leveraging personal photos to inferring friendships in social network services
Expert Systems with Applications: An International Journal
Graph pattern matching revised for social network analysis
Proceedings of the 15th International Conference on Database Theory
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users
ACM Transactions on Intelligent Systems and Technology (TIST)
Reciprocal and heterogeneous link prediction in social networks
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Friend or frenemy?: predicting signed ties in social networks
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Extracting signed social networks from text
TextGraphs-7 '12 Workshop Proceedings of TextGraphs-7 on Graph-based Methods for Natural Language Processing
Managing political differences in social media
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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Traditional online social network sites use a single monolithic "friends" relationship to link users. However, users may have more in common with strangers, suggesting the use of a "similarity network" to recommend content. This paper examines the usefulness of this distinction in propagating new content. Using both macroscopic and microscopic social dynamics, we present an analysis of Essembly, an ideological social network that semantically distinguishes between friends and ideological allies and nemeses. Although users have greater similarity with their allies than their friends and nemeses, surprisingly, the allies network does not affect voting behavior, despite being as large as the friends network. In contrast, users are influenced differently by their friends and nemeses, indicating that people use these networks for distinct purposes. We suggest resulting design implications for social content aggregation services and recommender systems.