Week #1 Submission

Since the early 2000s, technology has taken the world by storm from our everyday habits to our emotional states. Today, as it advances, we use technology to connect and learn with each other, ourselves, and our surroundings. Through social media or through personal networks. According to the article, “Taming Complexity”, Barabási mentioned “We can already design topologies that are far more tolerant of attack and error than those seen today in nature and technology. But who can force the cell or the World Wide Web to follow them? Humility must win over hubris: we must first observe and understand, in order to improve and design. ” (Barabási 70). This symbolizes that we must understand each other as humans and as communities through super networks to improve biologically.  In Anna Nagurney’s “Networks The Science Spanning Disciplines”, she applies different applications of the network to different disciplines. She decomposes the decision-making criteria of profits, risk, and relationships with other networks.  In the presentation, she explains how the super network interconnects with social networks.  Based on the strategies she presented, many companies are using social media to connect and network with their audiences. Let’s take McDonald’s as an example. McDonald’s is known to occasionally have limited edition menus and a staple menu. As of recently, they brought back the infamous “Snack McWrap”, a staple classic; after outraged consumers have expressed their concerns on social media. McDonald’s used a super network to connect with their audience/consumers and brought back the Snack McWrap by popular demand. They used the strategy of maximizing profit, minimizing risk, and maximizing the value of the relationship with their consumers. Since then, McDonald’s has increased in sales and made a few headlines due to this action. McDonald’s proved that connecting and understanding their demographic by using technology to minimize the risk of sales and overall image.


(Barabási, A.-L. (2005) ‘Taming complexity’, Nature Physics, 1(2), pp. 70. doi: 10.1038/nphys162.)


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