This dissertation contains two essays which examine the roles that individual incentives, competition, and information play in network formation. In the first essay, I examine a model in which two competing groups offer different allocation rules that may depend on the network of connections among the individuals that make up each group. I assume the existence of a single divisible good, such as a monetary prize, which will be divided amongst the members of the winning network. The probability of winning the prize will depend on the network sizes. I examine two well-known allocation rules: the Myerson value and the egalitarian rule. I prove existence of equilibria and characterize the properties of the two networks. The implications of the equilibria networks for the outcome of the contest are discussed. I find that the winning probability of the network using the Myerson value has an upper bound very close to one half. There is no such upper bound for the network using the egalitarian rule. In my second essay, I examine a dynamic model of network formation in which individuals use reinforcement learning to choose their actions. Typically, economic models of network formation assume the entire network structure to be known to all individuals involved. The introduction of reinforcement learning allows us to relax this assumption. Through the use of a state-dependent reinforcement learning rule, one may allow for varying degrees of information available to the agents. Three informational settings are examined and I determine what networks, if any, each model may converge to in the limit. The long-run behavior of each model is examined through the use of simulations and compared to one another. I find that amount and type of information agents have access plays an important role in which networks emerge when there is no dominant strategy for the agents choosing links. If there is a dominant link choosing strategy, the most efficient network structure quickly emerges in each informational setting. Together, these essays investigate how information, incentives, and competition may affect network formation. Individual incentives in the presence of competition can create tension between an individual's social ties and the overall network size. Information plays a key role in the emergent network topologies when there are no dominate network building strategies.

In this thesis a known heuristic for decreasing a node's centrality scores while maintaining influence, called ROAM, is compared to a modified version specifically designed to decrease eigenvector centrality. The performances of these heuristics are also tested against the Shapley values of a cooperative game played over the considered network, where the game is such that influential nodes receive higher Shapley values. The modified heuristic performed at least as good as the original ROAM, and in some instances even better (especially when the terrorist network behind the World Trade Center attacks was considered). Both heuristics increased the influence score for a given targeted node when applied consecutively on the WTC network, and consequently the Shapley values increased as well. Therefore the Shapley value of the game considered in this thesis seems to be well suited for discovering individuals that are assumed to actively trying to evade social network analysis.

I identify and analyse an emergent sub-genre of contemporary literature by women that I am calling ‘New Femininities’ fiction. This fiction is about the distinctly feminine experience of contemporary domestic life written by women about the lives of heterosexual female characters that are married or in committed partnerships, often with children. These texts are concerned with the nature of the self, with a self that is plural and ‘in process’, and make use of particular narrative devices – ironic voice, unreliable narration, free indirect discourse, and interrogative endings that exceed their roles as simply telling stories. ‘New Femininities’ fictions allow their language the necessary freedom to multiply meanings and enact the narrative conflicts they raise and by so doing, undermine the binary oppositions which structure a gendered world. In this dissertation, I argue the models of existing criticism would do a disservice to these texts because much of the criticism either overvalues the theoretical and ignores the literariness of the text or seeks to identify a ‘feminine’ language the definition of which serves to reinforce and revalue patriarchal notions of femininity. The readings that this fiction requires necessitate a negotiation with established models of feminist literary criticism. I attempt to identify the characteristics of their style that allows them to straddle binary oppositions and to look at the language these authors use without having to label it ‘feminine’ and by so doing establish, build, or reinforce a boundary with some undefined ‘masculine’ language which stands in for all occurrences that are not ‘feminine’. Additionally, I attempt to forge a transformed, adapted concept vocabulary for dealing with this group of writers. To this end, I make use of various discourses to show how the different authors either negotiate with that discourse or prove its inadequacy to describe or explain these new femininities.