2016
DOI: 10.1016/j.comcom.2015.09.028
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Ego network structure in online social networks and its impact on information diffusion

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Cited by 61 publications
(26 citation statements)
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“…Generally, users with more friends in the network would have greater impact on spread speed as well as the information popularity [110], and it is also a very important yet simple metric to evaluate the user's influence in social science. Other features of the network toplogy, including the degree distribution [111], small-world structure [93], ego structure [112,113], tie strength [114,115] and the ideological homophily in affiliation [116], all played very important roles in information spreading. For example, Bakshy et al found that weak ties would play a more dominant role in the dissemination of information online than currently believing that more weak ties were responsible for the propagation of novel information [109].…”
Section: Temporal Dynamical Patternsmentioning
confidence: 99%
“…Generally, users with more friends in the network would have greater impact on spread speed as well as the information popularity [110], and it is also a very important yet simple metric to evaluate the user's influence in social science. Other features of the network toplogy, including the degree distribution [111], small-world structure [93], ego structure [112,113], tie strength [114,115] and the ideological homophily in affiliation [116], all played very important roles in information spreading. For example, Bakshy et al found that weak ties would play a more dominant role in the dissemination of information online than currently believing that more weak ties were responsible for the propagation of novel information [109].…”
Section: Temporal Dynamical Patternsmentioning
confidence: 99%
“…Structural embeddedness lays stress on an enterprise's position in its ego-network which is considered as a portion of a social network formed of the one (called ego) and others with whom the ego has a social relationship (called alters) (Arnaboldi, Conti, Gala, Passarella, & Pezzoni, 2016), and their linkages (Gulati & Westphal, 1999). This type of network embeddedness, which influences economic exchange through the configuration of linkages among actors and the architecture of networks, emphasizes network ties, network densities, and the scale of enterprise networks (Polidoro, Ahuja, & Mitchell, 2011;Ruiz-Ortega et al, 2018;Tang, Rai, & Wareham, 2011).…”
Section: Structural Embeddedness and Trust-buildingmentioning
confidence: 99%
“…This was important because the existing faculty-student relationship might enable us to influence both the faculty and its students to undertake tasks for us. Envisioning an ego network, where we are the centre research unit, helped us to understand how the university network expands graphically towards students all over the country (Arnaboldi, Conti, La Gala, Passarella, & Pezzoni, 2016). This enabled us to understand that our research unit has strong ties with our first-degree connections, who are the university staff from different faculties; and from the faculties' strong ties with their enrolled students, we were able to exert influence over those students, who are second-degree connections for us ( Figure 1).…”
Section: Exposure To a Geographically Dispersed University Network Anmentioning
confidence: 99%