Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Cost-effective outbreak detection in networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Using ghost edges for classification in sparsely labeled networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Bridging centrality: graph mining from element level to group level
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Finding a team of experts in social networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Predicting positive and negative links in online social networks
Proceedings of the 19th international conference on World wide web
Label-dependent feature extraction in social networks for node classification
SocInfo'10 Proceedings of the Second international conference on Social informatics
Supervised random walks: predicting and recommending links in social networks
Proceedings of the fourth ACM international conference on Web search and data mining
Discovering top-k teams of experts with/without a leader in social networks
Proceedings of the 20th ACM international conference on Information and knowledge management
Telematics and Informatics
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Are investing activities dependent on social relationships? In our research, we apply social network analysis to the field of investing behaviors and discover that investors have a tendency to invest in companies that are socially similar to them. While traditional studies on investing behavior tend to focus on factors like psychology, opinions, investing experience etc, they fail to consider social relationship as an important factor. In this paper we provide general rules of thumb that are useful for companies seeking funding from investor. These rules of thumb are generated by analyzing the social relationships between investors and companies found within the small world of Facebook.