Detecting Topic Authoritative Social Media Users: A Multilayer Network Approach

Measuring Reputation and Influence in Online Social Networks: A Systematic Literature Review

“…They contrasted public and private posts and influencers and influence. Oro et al [41] proposed a method to exploit the contents of the messages posted by influencers to express their opinions on various things. They modeled these contents with a three-layer network in which the layers represented users, items, and keywords, along with intra-layer interactions among the actors in the same layer.…”

“…Oro et al [41] took a different approach, by tackling ways to better understand the popularity of the topics and attitudes through social media and by identifying influencers online. Agah and Dasari [78] explained that understanding the impact of OSNs on online influence can help organizations narrow down their digital marketing strategies.…”

“…They used different combinations of network topologies, exposure curves, event profiles, internal hazard functions, and synthetic and real data to measure retweets. By exploiting multilinear algebra, Oro et al [41] presented a method to extract the most active users stating their points of view on dominant themes tagged with dominant keywords. They conducted a series of experiments on different real-world datasets collected from Twitter and Yelp Social Networks on different issues [41].…”

“…By exploiting multilinear algebra, Oro et al [41] presented a method to extract the most active users stating their points of view on dominant themes tagged with dominant keywords. They conducted a series of experiments on different real-world datasets collected from Twitter and Yelp Social Networks on different issues [41]. Wei et al [79] evaluated influential Twitter users in Boston, Bristol, and Seattle, to calculate unique pairs of latitude/longitude coordinates for users with multiple pairs of geographical coordinates [79].…”

“…Most studies have relied on measures based on centrality indices and graph theory rather than the perceived authoritarian stature of OSN users [41]. Meyers et al [67] explicitly modeled the activity and influence of an external source, unlike Subbian and Melville [74], who found that online influence tends to be measured through followers or location and not with reference to the context of particular tasks, and this has made the resulting data unreliable.…”