Automatic Inference of Graph Models for Complex Networks with Genetic Programming

Complex networks can arise naturally and spontaneously from all things that act as a part of a larger system. From the patterns of socialization between people to the way biological systems organize themselves, complex networks are ubiquitous, but are currently poorly understood. A number of algorithms, designed by humans, have been proposed to describe the organizational behaviour of real-world networks. Consequently, breakthroughs in genetics, medicine, epidemiology, neuroscience, telecommunications and the social sciences have recently resulted. The algorithms, called graph models, represent significant human effort. Deriving accurate graph models is non-trivial, time-intensive, challenging and may only yield useful results for very specific phenomena. An automated approach can greatly reduce the human effort required and if effective, provide a valuable tool for understanding the large decentralized systems of interrelated things around us. To the best of the author's knowledge this thesis proposes the first method for the automatic inference of graph models for complex networks with varied properties, with and without community structure. Furthermore, to the best of the author's knowledge it is the first application of genetic programming for the automatic inference of graph models. The system and methodology was tested against benchmark data, and was shown to be capable of reproducing close approximations to well-known algorithms designed by humans. Furthermore, when used to infer a model for real biological data the resulting model was more representative than models currently used in the literature.

Interaction between stress and immunity during a week leading to competition in young athletes

This study examined changes in the salivary concentrations of immunoglobulin A (sIgA), cortisol (sC), testosterone (sT) and testosterone-to-cortisol ratio (T/C) in 23 competitive swimmers, 11-15 years old, during a week leading to competition as compared to a control (non-competitive) week. Results showed no effect of week or day, and no significant week-by-day interaction for sIgA, sC and T/C. In contrast, sT significantly decreased during the week of competition, along with a 7%, non-significant decrease in the weekly T/C. The latter suggests that the swimmers were in a catabolic state due to their training, but this did not have a negative effect on their performance Since sC did not change over the two weeks and according to the sport anxiety scale, competition stress was relatively low in these peri-pubertal athletes, it is concluded that in the absence of high cortisol levels mucosal immunity is unaffected in young athletes prior to competition.

The Impact of a Corporate Name Change on Stock Price and Trading Volume of Canadian Companies

This thesis examines the impact of a corporate name change on stock price and trading volume of Canadian companies around the announcement date, the approval date, and the adoption date over the time period from 1997 to 2011. Name changes are classified into six categories: major and minor, structural and pure, diversified and focused, accompanied with a change in ticker symbol and without a change in ticker symbol, “Gold” name addition and deletion, and different reasons for name changes (e.g., merger and acquisition, change of structure, change of strategy, and better image). The thesis uses the standard event study methodology to perform abnormal return and trading volume analyses. In addition, regression analysis is employed to examine which type of a name change has the largest impact on cumulative abnormal returns. Sample stocks exhibit a significant positive abnormal return one-day prior to the approval day and one day after the adoption date. Around the approval date we observe significant abnormal returns for stocks with a structural name change. On the day after the adoption date we document abnormal returns for stocks with major, minor, structural, pure, focused, and ticker symbol name changes. If a merger or acquisition is the reason for a name change, companies tend to experience a significant positive abnormal return one-day before the approval date and on the adoption date. If a change of structure is the reason for a name change, companies exhibit a significant positive abnormal return on the approval date and a significant negative abnormal return on the adoption date. In case of a change of strategy as the reason for a name change, companies show a significant negative abnormal return around the approval date and a significant positive abnormal return around the adoption date.

Letter to S.D. Woodruff from R.J.T. [R.J. Thompson]

Letter (1 ½ pages, handwritten) to S.D. Woodruff from R.J.T. [R.J. Thompson]. Mr. Thompson says that his wife doesn’t want him to have anything to do with this job. He says he will send 2 men and pay their expenses. He also says that he would not like to appear in court against Burton, but if Mr. Woodruff cannot prove his claim, then Mr. Thompson will appear, July 26, 1880.

Letter to S.D. Woodruff from John F. Day

Letter to S.D. Woodruff from John F. Day stating that it is impossible for him to go into the woods regarding the pine in dispute. He says that Mr. Woodruff appears to ignore (or forget) that the inspection could be made by Mr. Day’s son and that proposition was agreeable to Mr. Woodruff. He says that he will (with Burton and Bro.’s consent) appoint someone who is unknown to both Mr. Woodruff and Burton and Bro. This is a 1 page handwritten letter written on a letter which was previously sent by S.D. Woodruff on May 8. This is accompanied by an envelope, July 26, 1880.

Letter to Robert Nelles of Grimsby from Richard Beasly

Letter to Robert Nelles of Grimsby from Richard Beasly (1 double-sided page, handwritten) in which he states that he is sorry that Mr. John Petit is so particular, July 26, 1800.