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62
Sep 21, 2013
09/13
by
Animesh Mukherjee; Monojit Choudhury; Ravi Kannan
texts
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Recent research has shown that language and the socio-cognitive phenomena associated with it can be aptly modeled and visualized through networks of linguistic entities. However, most of the existing works on linguistic networks focus only on the local properties of the networks. This study is an attempt to analyze the structure of languages via a purely structural technique, namely spectral analysis, which is ideally suited for discovering the global correlations in a network. Application of...
Source: http://arxiv.org/abs/0901.2216v1
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43
Sep 23, 2013
09/13
by
Animesh Mukherjee; Monojit Choudhury; Niloy Ganguly
texts
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It is a well-known fact that the degree distribution (DD) of the nodes in a partition of a bipartite network influences the DD of its one-mode projection on that partition. However, there are no studies exploring the effect of the DD of the other partition on the one-mode projection. In this article, we show that the DD of the other partition, in fact, has a very strong influence on the DD of the one-mode projection. We establish this fact by deriving the exact or approximate closed-forms of...
Source: http://arxiv.org/abs/1105.3902v1
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55
Sep 22, 2013
09/13
by
Chris Biemann; Monojit Choudhury; Animesh Mukherjee
texts
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We study the global topology of the syntactic and semantic distributional similarity networks for English through the technique of spectral analysis. We observe that while the syntactic network has a hierarchical structure with strong communities and their mixtures, the semantic network has several tightly knit communities along with a large core without any such well-defined community structure.
Source: http://arxiv.org/abs/0906.1467v1
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32
Sep 21, 2013
09/13
by
Animesh Mukherjee; Monojit Choudhury; Niloy Ganguly
texts
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The paper is being withdrawn since the authors felt that the submission is a little premature after a careful reading by some of the experts in this field.
Source: http://arxiv.org/abs/0902.0702v4
3
3.0
Jun 29, 2018
06/18
by
Sudipta Saha; Animesh Mukherjee; Niloy Ganguly
texts
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This paper uses a bipartite network model to calculate the coverage achieved by a delay-tolerant information dissemination algorithm in a specialized setting. The specialized Delay Tolerant Network (DTN) system comprises static message buffers or throwboxes kept in popular places besides the mobile agents hopping from one place to another. We identify that an information dissemination technique that exploits the throwbox infrastructure can cover only a fixed number of popular places...
Topics: Distributed, Parallel, and Cluster Computing, Computing Research Repository, Social and Information...
Source: http://arxiv.org/abs/1604.05428
4
4.0
Jun 28, 2018
06/18
by
Sandipan Sikdar; Niloy Ganguly; Animesh Mukherjee
texts
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An important feature of all real-world networks is that the network structure changes over time. Due to this dynamic nature, it becomes difficult to propose suitable growth models that can explain the various important characteristic properties of these networks. In fact, in many application oriented studies only knowing these properties is sufficient. We, in this paper show that even if the network structure at a future time point is not available one can still manage to estimate its...
Topics: Physics and Society, Social and Information Networks, Computing Research Repository, Physics
Source: http://arxiv.org/abs/1512.01344
3
3.0
Jun 28, 2018
06/18
by
Suman Kalyan Maity; Ritvik Saraf; Animesh Mukherjee
texts
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Compounding of natural language units is a very common phenomena. In this paper, we show, for the first time, that Twitter hashtags which, could be considered as correlates of such linguistic units, undergo compounding. We identify reasons for this compounding and propose a prediction model that can identify with 77.07% accuracy if a pair of hashtags compounding in the near future (i.e., 2 months after compounding) shall become popular. At longer times T = 6, 10 months the accuracies are 77.52%...
Topics: Social and Information Networks, Computing Research Repository
Source: http://arxiv.org/abs/1510.00249
5
5.0
Jun 30, 2018
06/18
by
Suman Kalyan Maity; Aman Kharb; Animesh Mukherjee
texts
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Quora is one of the most popular community Q&A sites of recent times. However, many question posts on this Q&A site often do not get answered. In this paper, we quantify various linguistic activities that discriminates an answered question from an unanswered one. Our central finding is that the way users use language while writing the question text can be a very effective means to characterize answerability. This characterization helps us to predict early if a question remaining...
Topics: Computing Research Repository, Social and Information Networks, Computation and Language
Source: http://arxiv.org/abs/1703.04001
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21
Jun 27, 2018
06/18
by
Tanmoy Chakraborty; Sikhar Patranabis; Pawan Goyal; Animesh Mukherjee
texts
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The availability of an overwhelmingly large amount of bibliographic information including citation and co-authorship data makes it imperative to have a systematic approach that will enable an author to organize her own personal academic network profitably. An effective method could be to have one's co-authorship network arranged into a set of "circles", which has been a recent practice for organizing relationships (e.g., friendship) in many online social networks. In this paper, we...
Topics: Social and Information Networks, Physics and Society, Computing Research Repository, Physics
Source: http://arxiv.org/abs/1505.04560
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8.0
Jun 29, 2018
06/18
by
Mayank Singh; Tanmoy Chakraborty; Animesh Mukherjee; Pawan Goyal
texts
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Classifying publication venues into top-tier or non top-tier is quite subjective and can be debatable at times. In this paper, we propose ConfAssist, a novel assisting framework for conference categorization that aims to address the limitations in the existing systems and portals for venue classification. We start with the hypothesis that top-tier conferences are much more stable than other conferences and the inherent dynamics of these groups differs to a very large extent. We identify various...
Topics: Digital Libraries, Computing Research Repository, Social and Information Networks
Source: http://arxiv.org/abs/1608.01101
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70
Sep 18, 2013
09/13
by
Monojit Choudhury; Animesh Mukherjee; Anupam Basu; Niloy Ganguly
texts
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Cross-linguistic similarities are reflected by the speech sound systems of languages all over the world. In this work we try to model such similarities observed in the consonant inventories, through a complex bipartite network. We present a systematic study of some of the appealing features of these inventories with the help of the bipartite network. An important observation is that the occurrence of consonants follows a two regime power law distribution. We find that the consonant inventory...
Source: http://arxiv.org/abs/physics/0606131v1
3
3.0
Jun 29, 2018
06/18
by
Soumya Sarkar; Sanjukta Bhowmick; Suhansanu Kumar; Animesh Mukherjee
texts
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Network analysis is an important tool in understanding the behavior of complex systems of interacting entities. However, due to the limitations of data gathering technologies, some interactions might be missing from the network model. This is a ubiquitous problem in all domains that use network analysis, from social networks to hyper-linked web networks to biological networks. Consequently, an important question in analyzing networks is to understand how increasing the noise level (i.e....
Topics: Physics and Society, Physics, Computing Research Repository, Social and Information Networks
Source: http://arxiv.org/abs/1608.05295
3
3.0
Jun 29, 2018
06/18
by
Tanmoy Chakraborty; Ayushi Dalmia; Animesh Mukherjee; Niloy Ganguly
texts
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Detecting and analyzing dense groups or communities from social and information networks has attracted immense attention over last one decade due to its enormous applicability in different domains. Community detection is an ill-defined problem, as the nature of the communities is not known in advance. The problem has turned out to be even complicated due to the fact that communities emerge in the network in various forms - disjoint, overlapping, hierarchical etc. Various heuristics have been...
Topics: Physics and Society, Physics, Computing Research Repository, Social and Information Networks
Source: http://arxiv.org/abs/1604.03512
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Sep 18, 2013
09/13
by
Animesh Mukherjee; Monojit Choudhury; Anupam Basu; Niloy Ganguly
texts
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We study the self-organization of the consonant inventories through a complex network approach. We observe that the distribution of occurrence as well as cooccurrence of the consonants across languages follow a power-law behavior. The co-occurrence network of consonants exhibits a high clustering coefficient. We propose four novel synthesis models for these networks (each of which is a refinement of the earlier) so as to successively match with higher accuracy (a) the above mentioned...
Source: http://arxiv.org/abs/0806.0923v2
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7.0
Jun 29, 2018
06/18
by
Sandipan Sikdar; Matteo Marsili; Niloy Ganguly; Animesh Mukherjee
texts
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Peer-review system has long been relied upon for bringing quality research to the notice of the scientific community and also preventing flawed research from entering into the literature. The need for the peer-review system has often been debated as in numerous cases it has failed in its task and in most of these cases editors and the reviewers were thought to be responsible for not being able to correctly judge the quality of the work. This raises a question "Can the peer-review system be...
Topics: Digital Libraries, Computing Research Repository, Computers and Society
Source: http://arxiv.org/abs/1608.04875
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50
Sep 19, 2013
09/13
by
Animesh Mukherjee; Monojit Choudhury; Anupam Basu; Niloy Ganguly
texts
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The sound inventories of the world's languages self-organize themselves giving rise to similar cross-linguistic patterns. In this work we attempt to capture this phenomenon of self-organization, which shapes the structure of the consonant inventories, through a complex network approach. For this purpose we define the occurrence and co-occurrence networks of consonants and systematically study some of their important topological properties. A crucial observation is that the occurrence as well as...
Source: http://arxiv.org/abs/physics/0610120v4
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63
Sep 18, 2013
09/13
by
Animesh Mukherjee; Monojit Choudhury; Anupam Basu; Niloy Ganguly
texts
eye 63
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Speech sounds of the languages all over the world show remarkable patterns of cooccurrence. In this work, we attempt to automatically capture the patterns of cooccurrence of the consonants across languages and at the same time figure out the nature of the force leading to the emergence of such patterns. For this purpose we define a weighted network where the consonants are the nodes and an edge between two nodes (read consonants) signify their co-occurrence likelihood over the consonant...
Source: http://arxiv.org/abs/physics/0606132v1
3
3.0
Jun 29, 2018
06/18
by
Vladimir Ufimtsev; Soumya Sarkar; Animesh Mukherjee; Sanjukta Bhowmick
texts
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Networks created from real-world data contain some inaccuracies or noise, manifested as small changes in the network structure. An important question is whether these small changes can significantly affect the analysis results. In this paper, we study the effect of noise in changing ranks of the high centrality vertices. We compare, using the Jaccard Index (JI), how many of the top-k high centrality nodes from the original network are also part of the top-k ranked nodes from the noisy network....
Topics: Physics and Society, Physics, Computing Research Repository, Social and Information Networks
Source: http://arxiv.org/abs/1609.05402
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51
Sep 19, 2013
09/13
by
Fernando Peruani; Monojit Choudhury; Animesh Mukherjee; Niloy Ganguly
texts
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We study the growth of bipartite networks in which the number of nodes in one of the partitions is kept fixed while the other partition is allowed to grow. We study random and preferential attachment as well as combination of both. We derive the exact analytical expression for the degree-distribution of all these different types of attachments while assuming that edges are incorporated sequentially, i.e., a single edge is added to the growing network in a time step. We also provide an...
Source: http://arxiv.org/abs/cond-mat/0703634v1
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56
Sep 21, 2013
09/13
by
Suman Kalyan Maity; T. Venkat Manoj; Animesh Mukherjee
texts
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We study the dynamics of the Naming Game as an opinion formation model on time-varying social networks. This agent-based model captures the essential features of the agreement dynamics by means of a memory-based negotiation process. Our study focuses on the impact of time-varying properties of the social network of the agents on the Naming Game dynamics. We investigate the outcomes of the dynamics on two different types of time-varying data - (i) the networks vary across days and (ii) the...
Source: http://arxiv.org/abs/1204.1160v1
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12
Jun 28, 2018
06/18
by
Suman Kalyan Maity; Bhadreswar Ghuku; Abhishek Upmanyu; Animesh Mukherjee
texts
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Twitter is one of the most popular social media. Due to the ease of availability of data, Twitter is used significantly for research purposes. Twitter is known to evolve in many aspects from what it was at its birth; nevertheless, how it evolved its own linguistic style is still relatively unknown. In this paper, we study the evolution of various sociolinguistic aspects of Twitter over large time scales. To the best of our knowledge, this is the first comprehensive study on the evolution of...
Topics: Social and Information Networks, Computing Research Repository
Source: http://arxiv.org/abs/1509.05096
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Sep 22, 2013
09/13
by
Animesh Mukherjee; Francesca Tria; Andrea Baronchelli; Andrea Puglisi; Vittorio Loreto
texts
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Human languages evolve continuously, and a puzzling problem is how to reconcile the apparent robustness of most of the deep linguistic structures we use with the evidence that they undergo possibly slow, yet ceaseless, changes. Is the state in which we observe languages today closer to what would be a dynamical attractor with statistically stationary properties or rather closer to a non-steady state slowly evolving in time? Here we address this question in the framework of the emergence of...
Source: http://arxiv.org/abs/1101.2804v1
7
7.0
Jun 28, 2018
06/18
by
Mayank Singh; Rajdeep Sarkar; Pawan Goyal; Animesh Mukherjee; Soumen Chakrabarti
texts
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When PageRank began to be used for ranking in Web search, a concern soon arose that older pages have an inherent --- and potentially unfair --- advantage over emerging pages of high quality, because they have had more time to acquire hyperlink citations. Algorithms were then proposed to compensate for this effect. Curiously, in bibliometry, the opposite concern has often been raised: that a growing body of recent papers crowds out older papers, resulting in a collective amnesia in research...
Topics: Social and Information Networks, Digital Libraries, Computing Research Repository
Source: http://arxiv.org/abs/1511.08310
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39
Sep 22, 2013
09/13
by
Tanmoy Chakraborty; Sriram Srinivasan; Niloy Ganguly; Sanjukta Bhowmick; Animesh Mukherjee
texts
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Identifying community structure is a fundamental problem in network analysis. Most community detection algorithms are based on optimizing a combinatorial parameter, for example modularity. This optimization is generally NP-hard, thus merely changing the vertex order can alter their assignments to the community. However, there has been very less study on how vertex ordering influences the results of the community detection algorithms. Here we identify and study the properties of invariant groups...
Source: http://arxiv.org/abs/1302.5794v1
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5.0
Jun 29, 2018
06/18
by
Tanmoy Chakraborty; Sriram Srinivasan; Niloy Ganguly; Animesh Mukherjee; Sanjukta Bhowmick
texts
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The goal of community detection algorithms is to identify densely-connected units within large networks. An implicit assumption is that all the constituent nodes belong equally to their associated community. However, some nodes are more important in the community than others. To date, efforts have been primarily driven to identify communities as a whole, rather than understanding to what extent an individual node belongs to its community. Therefore, most metrics for evaluating communities, for...
Topics: Physics and Society, Physics, Computing Research Repository, Social and Information Networks
Source: http://arxiv.org/abs/1606.01543
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69
Sep 19, 2013
09/13
by
Monojit Choudhury; Markose Thomas; Animesh Mukherjee; Anupam Basu; Niloy Ganguly
texts
eye 69
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The difficulties involved in spelling error detection and correction in a language have been investigated in this work through the conceptualization of SpellNet - the weighted network of words, where edges indicate orthographic proximity between two words. We construct SpellNets for three languages - Bengali, English and Hindi. Through appropriate mathematical analysis and/or intuitive justification, we interpret the different topological metrics of SpellNet from the perspective of the issues...
Source: http://arxiv.org/abs/physics/0703198v1
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18
Jun 27, 2018
06/18
by
Tanmoy Chakraborty; Suhansanu Kumar; Pawan Goyal; Niloy Ganguly; Animesh Mukherjee
texts
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A common consensus in the literature is that the citation profile of published articles in general follows a universal pattern - an initial growth in the number of citations within the first two to three years after publication followed by a steady peak of one to two years and then a final decline over the rest of the lifetime of the article. This observation has long been the underlying heuristic in determining major bibliometric factors such as the quality of a publication, the growth of...
Topics: Digital Libraries, Computing Research Repository
Source: http://arxiv.org/abs/1503.06268
4
4.0
Jun 29, 2018
06/18
by
Soham Dan; Sanyam Agarwal; Mayank Singh; Pawan Goyal; Animesh Mukherjee
texts
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Every field of research consists of multiple application areas with various techniques routinely used to solve problems in these wide range of application areas. With the exponential growth in research volumes, it has become difficult to keep track of the ever-growing number of application areas as well as the corresponding problem solving techniques. In this paper, we consider the computational linguistics domain and present a novel information extraction system that automatically constructs a...
Topics: Computation and Language, Computing Research Repository
Source: http://arxiv.org/abs/1608.06386
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7.0
Jun 29, 2018
06/18
by
Tanmoy Chakraborty; Suhansanu Kumar; Niloy Ganguly; Animesh Mukherjee; Sanjukta Bhowmick
texts
eye 7
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Detection of non-overlapping and overlapping communities are essentially the same problem. However, current algorithms focus either on finding overlapping or non-overlapping communities. We present a generalized framework that can identify both non-overlapping and overlapping communities, without any prior input about the network or its community distribution. To do so, we introduce a vertex-based metric, GenPerm, that quantifies by how much a vertex belongs to each of its constituent...
Topics: Physics and Society, Physics, Computing Research Repository, Social and Information Networks
Source: http://arxiv.org/abs/1604.03454
5
5.0
Jun 30, 2018
06/18
by
Tanmoy Chakraborty; Sriram Srinivasan; Niloy Ganguly; Animesh Mukherjee; Sanjukta Bhowmick
texts
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Despite the prevalence of community detection algorithms, relatively less work has been done on understanding whether a network is indeed modular and how resilient the community structure is under perturbations. To address this issue, we propose a new vertex-based metric called "permanence", that can quantitatively give an estimate of the community-like structure of the network. The central idea of permanence is based on the observation that the strength of membership of a vertex to a...
Topics: Physics, Physics and Society, Computing Research Repository, Social and Information Networks
Source: http://arxiv.org/abs/1406.2426
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41
Sep 23, 2013
09/13
by
Francesca Tria; Animesh Mukherjee; Andrea Baronchelli; Andrea Puglisi; Vittorio Loreto
texts
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The Category Game is a multi-agent model that accounts for the emergence of shared categorization patterns in a population of interacting individuals. In the framework of the model, linguistic categories appear as long lived consensus states that are constantly reshaped and re-negotiated by the communicating individuals. It is therefore crucial to investigate the long time behavior to gain a clear understanding of the dynamics. However, it turns out that the evolution of the emerging category...
Source: http://arxiv.org/abs/1012.3583v1
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61
Sep 22, 2013
09/13
by
Animesh Mukherjee; Monojit Choudhury; Shamik RoyChowdhury; Anupam Basu; Niloy Ganguly
texts
eye 61
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In this work, we attempt to capture patterns of co-occurrence across vowel systems and at the same time figure out the nature of the force leading to the emergence of such patterns. For this purpose we define a weighted network where the vowels are the nodes and an edge between two nodes (read vowels) signify their co-occurrence likelihood over the vowel inventories. Through this network we identify communities of vowels, which essentially reflect their patterns of co-occurrence across...
Source: http://arxiv.org/abs/physics/0702056v2
6
6.0
Jun 30, 2018
06/18
by
Sunny Mitra; Ritwik Mitra; Martin Riedl; Chris Biemann; Animesh Mukherjee; Pawan Goyal
texts
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In this paper, we propose an unsupervised method to identify noun sense changes based on rigorous analysis of time-varying text data available in the form of millions of digitized books. We construct distributional thesauri based networks from data at different time points and cluster each of them separately to obtain word-centric sense clusters corresponding to the different time points. Subsequently, we compare these sense clusters of two different time points to find if (i) there is birth of...
Topics: Computing Research Repository, Computation and Language, Artificial Intelligence
Source: http://arxiv.org/abs/1405.4392
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63
Sep 23, 2013
09/13
by
Monojit Choudhury; Animesh Mukherjee; Anupam Basu; Niloy Ganguly; Ashish Garg; Vaibhav Jalan
texts
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n this paper, we attempt to explain the emergence of the linguistic diversity that exists across the consonant inventories of some of the major language families of the world through a complex network based growth model. There is only a single parameter for this model that is meant to introduce a small amount of randomness in the otherwise preferential attachment based growth process. The experiments with this model parameter indicates that the choice of consonants among the languages within a...
Source: http://arxiv.org/abs/0904.1289v1
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7.0
Jun 30, 2018
06/18
by
Jasabanta Patro; Bidisha Samanta; Saurabh Singh; Prithwish Mukherjee; Monojit Choudhury; Animesh Mukherjee
texts
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Code-mixing or code-switching are the effortless phenomena of natural switching between two or more languages in a single conversation. Use of a foreign word in a language; however, does not necessarily mean that the speaker is code-switching because often languages borrow lexical items from other languages. If a word is borrowed, it becomes a part of the lexicon of a language; whereas, during code-switching, the speaker is aware that the conversation involves foreign words or phrases....
Topics: Computing Research Repository, Computation and Language
Source: http://arxiv.org/abs/1703.05122
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121
Sep 22, 2013
09/13
by
Monojit Choudhury; Niloy Ganguly; Abyayananda Maiti; Animesh Mukherjee; Lutz Brusch; Andreas Deutsch; Fernando Peruani
texts
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Life and language are discrete combinatorial systems (DCSs) in which the basic building blocks are finite sets of elementary units: nucleotides or codons in a DNA sequence and letters or words in a language. Different combinations of these finite units give rise to potentially infinite numbers of genes or sentences. This type of DCS can be represented as an Alphabetic Bipartite Network ($\alpha$-BiN) where there are two kinds of nodes, one type represents the elementary units while the other...
Source: http://arxiv.org/abs/0811.0499v1
6
6.0
Jun 29, 2018
06/18
by
Suman Kalyan Maity; Chandra Bhanu Jha; Avinash Kumar; Ayan Sengupta; Madhur Modi; Animesh Mukherjee
texts
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Crowdsourcing platforms have become quite popular due to the increasing demand of human computation-based tasks. Though the crowdsourcing systems are primarily demand-driven like MTurk, supply-driven marketplaces are becoming increasingly popular. Fiverr is a fast growing supply-driven marketplace where the sellers post micro-tasks (gigs) and users purchase them for prices as low as $5. In this paper, we study the Fiverr platform as a unique marketplace and characterize the sellers, buyers and...
Topics: Computing Research Repository, Social and Information Networks
Source: http://arxiv.org/abs/1609.06004
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5.0
Jun 29, 2018
06/18
by
Suman Kalyan Maity; Chaitanya Sarda; Anshit Chaudhary; Abhijeet Patil; Shraman Kumar; Akash Mondal; Animesh Mukherjee
texts
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Language in social media is mostly driven by new words and spellings that are constantly entering the lexicon thereby polluting it and resulting in high deviation from the formal written version. The primary entities of such language are the out-of-vocabulary (OOV) words. In this paper, we study various sociolinguistic properties of the OOV words and propose a classification model to categorize them into at least six categories. We achieve 81.26% accuracy with high precision and recall. We...
Topics: Computation and Language, Computing Research Repository, Social and Information Networks
Source: http://arxiv.org/abs/1602.00293
5
5.0
Jun 29, 2018
06/18
by
Mayank Singh; Barnopriyo Barua; Priyank Palod; Manvi Garg; Sidhartha Satapathy; Samuel Bushi; Kumar Ayush; Krishna Sai Rohith; Tulasi Gamidi; Pawan Goyal; Animesh Mukherjee
texts
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This paper proposes OCR++, an open-source framework designed for a variety of information extraction tasks from scholarly articles including metadata (title, author names, affiliation and e-mail), structure (section headings and body text, table and figure headings, URLs and footnotes) and bibliography (citation instances and references). We analyze a diverse set of scientific articles written in English language to understand generic writing patterns and formulate rules to develop this hybrid...
Topics: Digital Libraries, Information Retrieval, Computing Research Repository
Source: http://arxiv.org/abs/1609.06423
