Competing for Influencers in a Social Network
نویسندگان
چکیده
This paper studies the competition between firms for influencers in a network. Firms spend effort to convince influencers to recommend their products. The analysis identifies the offensive and defensive roles of spending on influencers. The value of an influencer only depends on the in-degree distribution of the influence network. Influencers who exclusively cover a high number of consumers are more valuable to firms than those who mostly cover consumers also covered by other influencers. Firm profits are highest when there are many consumers with a very low or with very high in-degree. Consumers with an intermediate level of in-degree contribute negatively to profits and high in-degree consumers increase profits when market competition is not intense. Prices are generally lower when consumers are covered by many influencers, however, firms are not always worse off with lower prices. The nature of consumer response to recommendations makes an important difference. When first impressions dominate, firm profits for dense networks are higher, but when recommendations have a cumulative influence profits are reduced as the network becomes dense.
منابع مشابه
Providing a model to support the decision to select the most influential influencer in marketing campaigns on the Instagram social network.
With the advent of digital marketing and the subsequent emergence of social networks such as Facebook and Instagram, as well as the emergence of entities called influencers on these networks, numerous subcategories have arisen to optimize marketing activities with the purpose of having a larger, more effective, more targeted audience aiming at lowering the cost of advertising for businesses and...
متن کاملSocial capital: the power of influencers in networks
The problem of finding the influencers in social networks has been traditionally dealt in an optimization setting by finding the top-k nodes that has the maximum information spread in the network. These methods aim to find the influencers in a network through the process of information diffusion. However, none of these approaches model the individual social value generated by collaborations in ...
متن کاملElectronic word-of-mouth communities from the perspective of social network analysis
This paper is focused on the identification of influencers that can have an important impact over the decision-making of other users. For this purpose, a popular electronic word-of-mouth community like Ciao.com has been modelled as a social network. Using social network analysis techniques, the existence of influencers is justified by the power law distribution of user participation, and then t...
متن کاملThe Role of Regulatory in Price Control and Spectrum Allocation to Competing Wireless Access Networks
With the rapid growth of wireless access networks, various providers offer their services using different technologies such as Wi-Fi, Wimax, 3G, 4G and so on. These networks compete for the scarce wireless spectrum. The spectrum is considered to be a scarce resource moderated by the spectrum allocation regulatory (“regulatory” for short) which is the governance body aiming to maximize the socia...
متن کاملIdentifying Influencers in Social Networks
The central idea in designing various marketing strategies for online social networks is to identify the influencers in the network. The influential individuals induce “word-of-mouth” effects in the network. These individuals are responsible for triggering long cascades of influence that convince their peers to perform a similar action (buying a product, for instance). Targeting these influenti...
متن کامل