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Heiberger" ], "authors": [ {"first" : "Raphael H.", "last" : "Heiberger"} ], "editor": [ "My T. Thai","Nam P. Nguyen","Huawei Shen" ], "editors": [ {"first" : "My T.", "last" : "Thai"}, {"first" : "Nam P.", "last" : "Nguyen"}, {"first" : "Huawei", "last" : "Shen"} ], "volume": "9197","pages": "296--306","abstract": "In this paper, we combine network analytical methods to understand the structure of financial markets with recent research about collective attention shifts by utilizing massive social media data. Our main goal, hence, is to investigate whether changes in stock networks are connected with collective attention shifts. To examine the relationship between structural market properties and mass online behavior empirically, we merge company-level Google Trends data with stock network dynamics for all S&P 100 corporations between 2004 and 2014. 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