Can we find people infected with the flu virus even though they did not visit a doctor? Can the temporal features of a trending hashtag or a keyword indicate which topic it belongs to without any textual information? Given a history of interactions between blogs and news websites, can we predict blogs posts/news websites that are not in the sample but talk about the "the state of the economy" in 2008? These questions have two things in common: a network (social networks or human contact networks) and a virus (meme, keyword or the flu virus) diffusing over the network. We can think of interactions like memes, hashtags, influenza infections, computer viruses etc., as viruses spreading in a network. This treatment allows for the usage of epidemiologically inspired models to study or model these interactions. Understanding the complex propagation dynamics involved in information diffusion with the help of these models uncovers various non-trivial and interesting results. In this thesis we propose (a) A fast and efficient algorithm NetFill, which can be used to find quantitatively and qualitatively correct infected nodes, not in the sample and finding the culprits and (b) A method, SansText that can be used to find out which topic a keyword/hashtag belongs to just by looking at the popularity graph of the keyword without textual analysis. The results derived in this thesis can be used in various areas like epidemiology, news and protest detection, viral marketing and it can also be used to reduce sampling errors in graphs. / Master of Science

The purpose of the study was to examine how Sweden’s two biggest tabloids, Aftonbladet and Expressen, frame spectacular crime and specifically how they covered the Helicopter robbery that occurred in 2009. We identified three main participants in the story, the police, the culprits and the victims. We examined how much and what kind of space the identified participants were given and how the two newspapers constructed the participants in a dramaturgic sense.   Using a quantitative content analysis method we found that the time period included 433 articles in both newspapers. From the original articles, we picked and examined 19 articles with a qualitative content analysis method and also used framing theory in order to be able to examine how the participants were portrayed in Aftonbladet and Expressen.   The culprits were given far most space in both Aftonbladet and Expressen. The study show that the police was given second most space and that the victims were hardly ever written about at all, in contrast to recent studies showing that victims of crime often are depicted as the main character in articles regarding crime. The results also show that the story as a whole carried a lot of resemblance to the classic Hollywood movie plot. The police were portrayed as incompetent, creating a conflict within the justice system community. The culprits were portrayed as the protagonist of the story with highly competent features, whilst the victims were portrayed as scared and helpless.

The diploma thesis deals with the possibilities of representing the victims and the culprits of the Nazi and communist totalitarian regime on selected procaic works of Czech literature (Zvuk slunečních hodin, Peníze od Hitlera, Vyhnání Gerty Schnirch, Chladnou zemí a Dobrou noc, sladké sny). In also focused on the theme of collective memory, postgeneration, identity, guilt and trauma.

Construction of culprits within criminal policy programs: A critical discourse analysis. The purpose of this study was to make visible discourses within criminal policy before the elections of 2018 through analysis of the established political parties ́ criminal policy programs. Method qualitative content analysis was used to bring out categories, later analysed with Fairclough ́s critical discourse analysis. Constructions of culprits as “foreigner”, “in gang”, “organized”, “young”, “male” and “non-ethical Swedish” emerged. Other groups were crime victims identified as “children”, “juveniles”, “elders”, “females” and “entrepreneurs/business owners”. The crimes observed were honor crimes, terrorism, crimes of violence (especially domestic violence), sexual offences and internet-based crime. The constructions may create a skewed interpretation of criminality and feelings of “us and them”. This may lead to “them” labelled as the criminals and “us” as their potential victims. The discourses in the programs therefore risk sustaining unequal power configurations in society.