Title : 
Identifying Structural Heterogeneities between Online Social Networks for Effective Word-of-Mouth Marketing
         
        
            Author : 
Wang, Kai-Yu ; Thongpapanl, Narongsak ; Wu, Hui-Ju ; Ting, I-Hsien
         
        
            Author_Institution : 
Fac. of Bus., Brock Univ., St. Catharines, ON, Canada
         
        
        
        
        
        
            Abstract : 
Social networks are extremely important for word-of-mouth (WOM) marketing. However, marketers often ignore network structures when developing WOM marketing strategies. Specifically, there is clearly a lack of research on looking into overall structures and structural heterogeneities of social networks. This research investigates structural heterogeneities between online social networks in different product categories. We collected data from four online networks in different product categories from the most popular social networking site in Taiwan. Social network analysis was performed to understand the network structures. The findings demonstrate the structural heterogeneities between these networks and we also provide managerial implications for practitioners.
         
        
            Keywords : 
market research; social networking (online); Taiwan; network structures; online social network sites; product categories; structural heterogeneities; word-of-mouth marketing; Blogs; Business; Communities; Consumer electronics; Motion pictures; Presses; Social network services; Network Structure; Social Network; Social Network Analysis (SNA); Structural Heterogeneity; Word-of-Mouth (WOM) Marketing;
         
        
        
        
            Conference_Titel : 
Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
         
        
            Conference_Location : 
Kaohsiung
         
        
            Print_ISBN : 
978-1-61284-758-0
         
        
            Electronic_ISBN : 
978-0-7695-4375-8
         
        
        
            DOI : 
10.1109/ASONAM.2011.24