Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
The dynamics of viral marketing
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Information flow modeling based on diffusion rate for prediction and ranking
Proceedings of the 16th international conference on World Wide Web
Cost-effective outbreak detection in networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Social Information Processing in News Aggregation
IEEE Internet Computing
Influence and correlation in social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
The structure of information pathways in a social communication network
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Patterns of influence in a recommendation network
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Capturing implicit user influence in online social sharing
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Diffusion dynamics of games on online social networks
WOSN'10 Proceedings of the 3rd conference on Online social networks
Selecting information diffusion models over social networks for behavioral analysis
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Discovery of super-mediators of information diffusion in social networks
DS'10 Proceedings of the 13th international conference on Discovery science
Everyone's an influencer: quantifying influence on twitter
Proceedings of the fourth ACM international conference on Web search and data mining
A framework for quantitative analysis of cascades on networks
Proceedings of the fourth ACM international conference on Web search and data mining
Investigation of localised centrality metrics for collaborative networks: what can they reveal?
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Social Network Analysis and Mining for Business Applications
ACM Transactions on Intelligent Systems and Technology (TIST)
Information resonance on Twitter: watching Iran
Proceedings of the First Workshop on Social Media Analytics
Analyzing the impact of events in an online music community
Proceedings of the 4th Workshop on Social Network Systems
Modeling the structure and evolution of discussion cascades
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Individual behavior and social influence in online social systems
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Who should share what?: item-level social influence prediction for users and posts ranking
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
On word-of-mouth based discovery of the web
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
Analyzing patterns of information cascades based on users' influence and posting behaviors
Proceedings of the 2nd Temporal Web Analytics Workshop
Delayed information cascades in Flickr: Measurement, analysis, and modeling
Computer Networks: The International Journal of Computer and Telecommunications Networking
Who drive people to forward information: publisher or spreader?
Proceedings of the Fifth Workshop on Social Network Systems
The role of social networks in information diffusion
Proceedings of the 21st international conference on World Wide Web
Building a role search engine for social media
Proceedings of the 21st international conference companion on World Wide Web
Collective attention and the dynamics of group deals
Proceedings of the 21st international conference companion on World Wide Web
Social influence in social advertising: evidence from field experiments
Proceedings of the 13th ACM Conference on Electronic Commerce
The structure of online diffusion networks
Proceedings of the 13th ACM Conference on Electronic Commerce
SBP'12 Proceedings of the 5th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Identifying influential users by their postings in social networks
Proceedings of the 3rd international workshop on Modeling social media
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users
ACM Transactions on Intelligent Systems and Technology (TIST)
Finding trendsetters in information networks
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-Layer network for influence propagation over microblog
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
Coevolution of network structure and content
Proceedings of the 3rd Annual ACM Web Science Conference
Behavioral analysis in social networks: an approach based on intelligent system
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Proceedings of the 20th ACM international conference on Multimedia
Models and algorithms for social influence analysis
Proceedings of the sixth ACM international conference on Web search and data mining
Studying paths of participation in viral diffusion process
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
Studying Diffusion of Viral Content at Dyadic Level
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Meme ranking to maximize posts virality in microblogging platforms
Journal of Intelligent Information Systems
Estimating domain-based user influence in social networks
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Extracting social events for learning better information diffusion models
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
The role of information diffusion in the evolution of social networks
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
The role of organization hierarchy in technology adoption at the workplace
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
MODM: multi-objective diffusion model for dynamic social networks using evolutionary algorithm
The Journal of Supercomputing
Networked individuals predict a community wide outcome from their local information
Decision Support Systems
Peeking into the invitation-based adoption process of OSN-based applications
ACM SIGCOMM Computer Communication Review
Understanding spatial homophily: the case of peer influence and social selection
Proceedings of the 23rd international conference on World wide web
Proceedings of the 23rd international conference on World wide web
The bursty dynamics of the Twitter information network
Proceedings of the 23rd international conference on World wide web
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Social influence determines to a large extent what we adopt and when we adopt it. This is just as true in the digital domain as it is in real life, and has become of increasing importance due to the deluge of user-created content on the Internet. In this paper, we present an empirical study of user-to-user content transfer occurring in the context of a time-evolving social network in Second Life, a massively multiplayer virtual world. We identify and model social influence based on the change in adoption rate following the actions of one's friends and find that the social network plays a significant role in the adoption of content. Adoption rates quicken as the number of friends adopting increases and this effect varies with the connectivity of a particular user. We further find that sharing among friends occurs more rapidly than sharing among strangers, but that content that diffuses primarily through social influence tends to have a more limited audience. Finally, we examine the role of individuals, finding that some play a more active role in distributing content than others, but that these influencers are distinct from the early adopters.