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This paper is focused on the computational analysis of collective discourse, a collective behavior seen in non-expert content contributions in online social media. We collect and analyze a wide range of real-world collective discourse…

Social and Information Networks · Computer Science 2012-04-18 Vahed Qazvinian , Dragomir R. Radev

The literature considers multi-type Markov branching processes (BPs), where the offspring distribution depends only on the living (current) population. We analyse the total-current population-dependent BPs where the offspring distribution…

Probability · Mathematics 2024-06-14 Khushboo Agarwal

The existence of juxtaposed regions of distinct cultures in spite of the fact that people's beliefs have a tendency to become more similar to each other's as the individuals interact repeatedly is a puzzling phenomenon in the social…

Computational Physics · Physics 2010-11-05 Lucas R. Peres , Jose F. Fontanari

Opinion Dynamics is an interdisciplinary area of research. Psychology and Sociology have proposed models of how individuals form opinions and how social interactions influence this process. Socio-Physicists have interpreted patterns in…

Multiagent Systems · Computer Science 2024-07-03 Sudhakar Krisharao , Shaja Arul Selvamani

Spurious correlations were found to be an important factor explaining model performance in various NLP tasks (e.g., gender or racial artifacts), often considered to be ''shortcuts'' to the actual task. However, humans tend to similarly make…

Computation and Language · Computer Science 2025-08-25 Gili Lior , Gabriel Stanovsky

In this paper, a statistical analysis of the structure of one blog community, a kind of social networks, is presented. The quantities such as degree distribution, clustering coefficient, average shortest path length are calculated to…

Statistics Theory · Mathematics 2007-06-13 Feng Fu , Lianghuan Liu , Kai Yang , Long Wang

The complexity of human behaviour can lead to very unpredictable patterns in social activity and structure. Here we demonstrate the instability of a community network controlled by majority ruling, where an element adopts the most popular…

Cellular Automata and Lattice Gases · Physics 2016-05-17 V. F. Kusmartsev , F. V. Kusmartsev

The characterization and understanding of online social network behavior is of importance from both the points of view of fundamental research and realistic utilization. In this manuscript, we propose a stochastic differential equation to…

Physics and Society · Physics 2017-10-10 Jun-Shan Pan , Yuan-Qi Li , Xiang Liu , Han-Ping Hu , Yong Hu

A significant percentage of online content is now published and consumed via the mechanism of crowdsourcing. While any user can contribute to these forums, a disproportionately large percentage of the content is submitted by very active and…

Computers and Society · Computer Science 2009-05-15 Fang Wu , Dennis M. Wilkinson , Bernardo A. Huberman

In the process of enacting or introducing a new policy, policymakers frequently consider the population's responses. These considerations are critical for effective governance. There are numerous methods to gauge the ground sentiment from a…

Social and Information Networks · Computer Science 2025-11-11 Eugene T. Y. Ang , Yong Sheng Soh

We present an empirical study of user activity in online BBC discussion forums, measured by the number of posts written by individual debaters and the average sentiment of these posts. Nearly 2.5 million posts from over 18 thousand users…

Human-Computer Interaction · Computer Science 2011-06-06 Anna Chmiel , Pawel Sobkowicz , Julian Sienkiewicz , Georgios Paltoglou , Kevan Buckley , Mike Thelwall , Janusz A. Holyst

Consider $n=\ell+m$ individuals, where $\ell\le m$, with $\ell$ individuals holding an opinion $A$ and $m$ holding an opinion $B$. Suppose that the individuals communicate via an undirected network $G$, and in each time step, each…

Combinatorics · Mathematics 2021-05-28 Ashwin Sah , Mehtaab Sawhney

Most previous analysis of Twitter user behavior is focused on individual information cascades and the social followers graph. We instead study aggregate user behavior and the retweet graph with a focus on quantitative descriptions. We find…

Social and Information Networks · Computer Science 2015-02-17 David R. Bild , Yue Liu , Robert P. Dick , Z. Morley Mao , Dan S. Wallach

Popularity describes the dynamics of mass attention, and is a part of a broader class of population dynamics in ecology and social science literature. Studying accurate model of popularity is important for quantifying spreading of novelty,…

Physics and Society · Physics 2017-12-07 Hyungjoon Soh , Joo Hyung Hong , Jaeseung Jeong , Hawoong Jeong

Online discussion boards are an important medium for collaboration. The goal of our work is to understand how messages and individual discussants contribute to Q&A discussions. We present a novel network model for capturing in-formation…

Social and Information Networks · Computer Science 2011-10-24 Jeon-Hyung Kang , Jihie Kim

Nowadays there is an increasing interest of physicists in finding regularities related to social phenomena. This interest is clearly motivated by applications that a statistical mechanical description of the human behavior may have in our…

Physics and Society · Physics 2011-10-28 M. C. Mantovani , H. V. Ribeiro , M. V. Moro , S. Picoli , R. S. Mendes

We investigate transitions of portals users between different subpages. A weighted network of portals subpages is reconstructed where edge weights are numbers of corresponding transitions. Distributions of link weights and node strengths…

Physics and Society · Physics 2015-05-13 Anna M. Chmiel , Kamila Kowalska , Janusz A. Holyst

We observe and report on a systematic relationship between population density and Twitter use. Number of tweets, number of users and population per unit area are related by power laws, with exponents greater than one, that are consistent…

Social and Information Networks · Computer Science 2017-11-28 Rudy Arthur , Hywel Williams

Studies of online social influence have demonstrated that friends have important effects on many types of behavior in a wide variety of settings. However, we know much less about how influence works among relative strangers in digital…

Computers and Society · Computer Science 2017-02-23 George Berry , Sean J. Taylor

We present a new similarity measure tailored to posts in an online forum. Our measure takes into account all the available information about user interest and interaction --- the content of posts, the threads in the forum, and the author of…

Applications · Statistics 2010-09-09 Di Liu , Daniel Percival , Stephen E. Fienberg