Proceedings of the International AAAI Conference on Web and Social Media
We propose a novel technique to predict a user’s movie genre preference from her psycholinguistic... more We propose a novel technique to predict a user’s movie genre preference from her psycholinguistic attributes obtained from user social media interactions. In particular, we build machine learning based classification models that take user tweets as input to derive her psychological attributes: personality and value scores, and gives her movie genre preference as output. We train these models using user tweets in Twitter, and her reviews and ratings of movies of different genres in Internet movie database (IMDb). We exploit a key concept of psychology, i.e., an individual’s personality and values may influence her choice in performing different actions in real life. We have investigated how personality and values independently and collectively influence a user preference on different movie genres. Our proposed model can be used for recommending movies to social media users.
Predicting Bowling Performance in Cricket from Publicly Available Data
Proceedings of the International Conference on Computing Advancements
Cricket is one of the most popular games worldwide. The aim of this paper is to predict bowlers&#... more Cricket is one of the most popular games worldwide. The aim of this paper is to predict bowlers' performance from publicly available data. Team management follows different strategies to win in the tournaments. They anticipate bowlers' performance of the opposite team in diverse conditions and prepare their batsmen accordingly. Similarly, they also foresee the strength and weakness of opponent teams' batsmen and suggest their bowlers to perform different tricks in various environments. In this paper, we build a machine learning based approach to predict bowler's performance in varying conditions by using 6,031 bowling instances of One day International (ODI) matches. Our classifier shows substantial prediction potential to predict bowler's performance.
Research Productivity of Tourism Literature (Global Level): A Scientometric Analysis" based on pu... more Research Productivity of Tourism Literature (Global Level): A Scientometric Analysis" based on publication indexed in web of science during the year from 2015 to 2019. A total of 16,941 numbers of (Sixteen Thousand Nine Hundred and Forty-One) records have retrieved. Data were analyzed using the HistCite software and MS-excel. The study analyzed in different aspects such as (1) yearwise distribution of publication,(2) types of documents, (3) language-wise distribution, (4)Institutional wise publication, (5) country-wise distribution, (6) author wise publications, (7) relative growth rate, (8) Journal wise publication and (9) keywords distribution in publication and tune with the goals of the study. The study also analyzed the highest and lowest records above mentioned different aspects of tourism literature published in the study period. Studies come to conclude based on publication indexed in "web of science" during the years from 2015 to 2019 is that the scientometric study may assistance to expand the better research productivity of India and world tourism.
This paper deals with the scientometric study on the publication on "Waste Management" ... more This paper deals with the scientometric study on the publication on "Waste Management" in India. The aim of the study is to measure the research output in Waste Management. The study is based on the data collected from Web of Science for a period of 2009-2018. The number of publications collected for this study was 1549 and various software tools such as Histcite, VOSviewer, and BibExcel were used to analyze the data. Analysis part focuses on the parameters like citation impact at local and global level, outstanding authors and their total output, ranking of contributing institutions and countries. The main objective of the study is to determine year wise distribution, the documents, growth of literature, author productivity, country wise productivity, and institution wise along with the review of literature related to area of scientometric research.
Blockchain, the foundation of Bitcoin, has received extensive attentions recently. Blockchain ser... more Blockchain, the foundation of Bitcoin, has received extensive attentions recently. Blockchain serves as an indisputable ledger which allows transactions take place in a decentralized style. Blockchain-based applications are springing up, covering abundant fields including economic services, reputation system and Internet of Things (IoT), and so on. This paper examines the global performance based on its publication output on Blockchain literature as indexed in Web of Science citation database during the period 2015 to 2019. A total of 1489 papers were indexed on "Blockchain" in the database during the 5 years of study. Histcite tool, MS-Excel spreadsheet and VOSviewer were used to scrutinize the data and for visualization respectively.
In this study, few studies have attempted to make a comprehensive and quantitative review on this... more In this study, few studies have attempted to make a comprehensive and quantitative review on this topic. This study conducted a scientometric review on the Earth Science research from 2015 to 2019 using HistCite. Totally 4200 articles from the Web of Science core collection database were selected as the research samples. Our result show that The highest publication output in the year of 2019 with 1026 records (24.43%) and lowest publications founded in the year of 2016 with 685 (16.31%) publications. The most vital development in Earth Science research occurred in the USA, China, England, Canada and Germany. We are Suggest special strengthening in building international partnerships since cooperation occurs in most countries. International cooperation can improve research performance and in the end it leads to better exploitation.
The Present Study analyzed research Productiveness in Information and Management, the internation... more The Present Study analyzed research Productiveness in Information and Management, the international journal of information systems theories and applications for a period of 30 years between 1989 and 2018. Web of Science database a service from Clarivate Analytics has been used to download citation and source data. Bibexcel and Histcite application software have been used to present the datasets. Analysis part focuses on the parameters like citation impact at local and global level, outstanding authors and their total output, ranking of contributing institutions and countries. In addition to this scientographical mapping of data is presented through graphs using VOSviewer software mapping technique.
Can COVID-19 Change the Big5 Personality Traits of Healthcare Workers?
7th International Conference on Networking, Systems and Security, 2020
To curb the spread of the coronavirus, authorities around the world implemented lockdown measures... more To curb the spread of the coronavirus, authorities around the world implemented lockdown measures for months. In these locked down days, people as well as healthcare workers (HWs) are increasingly relying on social media platforms to socialize among themselves and get the latest updates of this pandemic situation. As a result, social media users’ interaction data have become a key resource in analyzing their behaviors. COVID-19 is the first global pandemic in the global scale after the appearance of social media. HWs such as physicians, nurses, technicians, and hospital support staff provide essential services to the patients with COVID-19 even after having lack of sufficient equipment, poor preparation, and risking their own lives. These HWs may experience sudden change in their personality traits due to pandemic, which are not studied in the existing literature. In this paper, we investigate how the pandemic influences Big5 personality traits of HWs using social media data. Our analysis shows that HWs’ neuroticism, conscientiousness, and extroversion have increased significantly due to pandemic. In contrast, we observe a decrease of HWs’ agreeableness and openness dimensions of Big5 personality.
In recent years, Location-Based Social Networking (LBSN) sites such as Foursquare, Facebook Place... more In recent years, Location-Based Social Networking (LBSN) sites such as Foursquare, Facebook Places, and Twitter have become extremely popular due to the extensive usage of location-enabled smart phone technologies. These LBSNs allow users to post their check-ins that provide important set of information about users' activities and preferences. Several existing research works predict users' activities from social media check-ins data considering various aspects such as time, venue, and occurrences. However, none of the earlier studies investigate the influence of weather on users' preferences of activities and mode of transportation preferences. Psychological studies show that weather has a strong influence on human activities. In this paper, we predict users' travel mode, day/night time activities and future visit from weather condition derived from social media check-ins. In particular, we develop several classification models to predict users' preferable mode of transportation, day/night activities, and future visits from the users' checkins based on different weather conditions. We use two real datasets: Tokyo and New York city to validate our models. Our classifiers achieve substantial strength (on an average AUC of 72.77%) to predict users' mode of transportation, day/night activities and their future visit preferences for Tokyo dataset. We also compare performance of the classifiers developed by these two datasets. INDEX TERMS Foursquare, check-ins, weather, correlation, classification.
FIFA world cup is the most prestigious football tournament and widely viewed sporting event in th... more FIFA world cup is the most prestigious football tournament and widely viewed sporting event in the world. People support different teams (countries) of FIFA world cup based on players' skills, number of winning trophies, and deliberate strategies that are applied by these teams during the tournament. These people share their opinion, criticism, love, and affection on the social media, i.e., Twitter. In this paper, we predict users' FIFA world cup supporting preference from their tweets. First, we analyze user's tweets and build two different types of classifiers by using LIWC and ELMo Word Embedding based techniques. These classifiers predict which team a user prefers from her word usage pattern in tweets. We find that Random Forest classifier performs the best for LIWC based model. We also find deep learning based word embedding technique, ELMo, achieves decent potential to predict users' team supporting preference. Later, we build a multi-level weighted ensemble model to integrate both of the independent models, i.e., LIWC and ELMo. Our ensemble model shows substantial prediction potential (average accuracy-83.5%) to predict users' FIFA world cup supporting preference from their tweets.
l-tryptophan-histidine synthesis by Pseudomonas serine peptidase, an amino acid ester hydrolase of the peptidase family S9
Enzyme and Microbial Technology, 2021
Pseudomonas sp. KM1 produces an amino acid ester hydrolase (KM1AEH) that catalyzes peptide bond f... more Pseudomonas sp. KM1 produces an amino acid ester hydrolase (KM1AEH) that catalyzes peptide bond formation by acting on carboxylic ester bonds. The KM1AEH gene was cloned from genomic DNA and expressed in Escherichia coli. The recombinant enzyme (rKM1AEH) was purified, and gel filtration showed that it is a 68 kDa monomeric protein. rKM1AEH can synthesize the vasoactive dipeptide tryptophan-histidine from tryptophan methyl ester and histidine as acyl donor and acceptor, respectively. The enzyme showed maximum activity at pH 9.5 and 45 °C and was specifically inhibited by silver (Ag+). Mutation of the catalytic Ser459 residue in the active site of rKM1AEH with Ala, Cys, or Thr eliminated all catalytic activity. The enzyme is a novel ester hydrolase that belongs to the peptidase family S9 based on the phylogenetic analysis.
Asian Journal of Medical and Biological Research, 2020
Climate change is a global threat to the world especially for Bangladesh, due to its geographical... more Climate change is a global threat to the world especially for Bangladesh, due to its geographical location. The present study was carried out to the impacts of climate change on livelihood of the fishers at the Meghna, Laukhati and Galachipa river in Bangladesh. The study was assessing the effects of climate change on fishersˊ community in the Meghna, Laukhati and Galachipa rivers near Chandpur and Patuakhali districts. The data on fishersˊ livelihood were collected by using a well-developed questionnaire from the selected areas. The average temperature was recorded as 30.5±0.90°C, 27.1±1.05°C and 27.4±0.60°C and the dissolved oxygen was as 6.37±1.11 mg/L, 5.63±0.33 mg/L and 6.33±0.51 mg/L in the Meghna, Laukhati and Galachipa rivers, respectively. The pH was as 8.3±0.59, 8.03±0.50 and 7.8±0.50 and the salinity was as 0.10±0.10, 0.23±0.13 and 1.2±0.15 ppt in the Meghna, Galachipa and Laukhati rivers, respectively. In the present study, it was found that most of the fishers were belo...
The One Belt One Road (OBOR) initiative is a historical landmark which intends to connect more th... more The One Belt One Road (OBOR) initiative is a historical landmark which intends to connect more than two-thirds of the world population and opening up the windows for reviving global business, peace and infrastructural development across the countries. The main purpose of this paper is to discuss the OBOR initiative in general and also, to analyze its contribution towards economy and development. The sources of this paper are the published literature, newspaper articles and web information. The paper suggests that though some countries will be benefitted more due to the strategic location advantages, all the member countries will be advantageous if they can use the opportunity with better policy implementation. The authors hope that this paper will be useful for the academicians, policy makers and businessmen who want to study further and implement policies according to the OBOR plan.
The Indian subcontinent is a place where three wheeler rickshaws are driven by human power for tr... more The Indian subcontinent is a place where three wheeler rickshaws are driven by human power for transportation system. As a result, large portion of energy are wasted by human being through pedaling. Since pedaling is one kind of kinetic energy, so it can be converted into electric energy by using dynamo which produce 6 W electricity. As sun & pedal are the source of energy, so these energy can be stored into the battery which is used to supply power to the motor to drive the rickshaw automatically. The implementation of this system would be beneficial and efficient, because these are not only depending on the availability of sun.
American Scientific Research Journal for Engineering, Technology, and Sciences, 2017
Choosing sustainable electronic device is a growing concern among the peoples of Bangladesh. A pe... more Choosing sustainable electronic device is a growing concern among the peoples of Bangladesh. A perfect choice can reduce the Cost as well as sufferings. In this paper, we have considered four smart phone manufacturing company corresponding four major features such as Android version, Battery power, RAM and Cost which is characterized by weighted value under fuzzy consideration to find a sustainable device. This selection is illustrated by modified TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for normalizing the given data. TOPSIS is one of the numerical methods of the multi-criteria decisions making (MCDM), which is a broadly applicable method with a simple mathematical model. Furthermore, the numerical analysis suggests that, modified TOPSIS method could be very effective to find a sustainable device which can also be cost effective for the peoples of Bangladesh.
Deriving interpersonal role identities from social network interactions
Proceedings of the 6th International Conference on Networking, Systems and Security, 2019
In recent years, social networking sites (SNS) have been transformed into virtual societies where... more In recent years, social networking sites (SNS) have been transformed into virtual societies where users express their feelings, share opinions, and socialize with friends, families, and co-workers. Users in these sites are still connected with each other with so called friends/followers relationships which are not representative of the real life role identities. However, a single person can play multiple roles in a society. For example, a person has a family member role identity with his wife, professional member role identity with his colleagues and academic member role identity with his class fellows. Thus, the same person can interact differently with different people based on her role identity with her counterpart. In this paper, we have predicted interpersonal role identities (e.g., family members, academic members, professional members, friends, and acquaintances) of a user with other connected members in an egocentric network (e.g., Facebook) from their word use patterns duri...
Proceedings of the International AAAI Conference on Web and Social Media
We propose a novel technique to predict a user’s movie genre preference from her psycholinguistic... more We propose a novel technique to predict a user’s movie genre preference from her psycholinguistic attributes obtained from user social media interactions. In particular, we build machine learning based classification models that take user tweets as input to derive her psychological attributes: personality and value scores, and gives her movie genre preference as output. We train these models using user tweets in Twitter, and her reviews and ratings of movies of different genres in Internet movie database (IMDb). We exploit a key concept of psychology, i.e., an individual’s personality and values may influence her choice in performing different actions in real life. We have investigated how personality and values independently and collectively influence a user preference on different movie genres. Our proposed model can be used for recommending movies to social media users.
Predicting Bowling Performance in Cricket from Publicly Available Data
Proceedings of the International Conference on Computing Advancements
Cricket is one of the most popular games worldwide. The aim of this paper is to predict bowlers&#... more Cricket is one of the most popular games worldwide. The aim of this paper is to predict bowlers' performance from publicly available data. Team management follows different strategies to win in the tournaments. They anticipate bowlers' performance of the opposite team in diverse conditions and prepare their batsmen accordingly. Similarly, they also foresee the strength and weakness of opponent teams' batsmen and suggest their bowlers to perform different tricks in various environments. In this paper, we build a machine learning based approach to predict bowler's performance in varying conditions by using 6,031 bowling instances of One day International (ODI) matches. Our classifier shows substantial prediction potential to predict bowler's performance.
Research Productivity of Tourism Literature (Global Level): A Scientometric Analysis" based on pu... more Research Productivity of Tourism Literature (Global Level): A Scientometric Analysis" based on publication indexed in web of science during the year from 2015 to 2019. A total of 16,941 numbers of (Sixteen Thousand Nine Hundred and Forty-One) records have retrieved. Data were analyzed using the HistCite software and MS-excel. The study analyzed in different aspects such as (1) yearwise distribution of publication,(2) types of documents, (3) language-wise distribution, (4)Institutional wise publication, (5) country-wise distribution, (6) author wise publications, (7) relative growth rate, (8) Journal wise publication and (9) keywords distribution in publication and tune with the goals of the study. The study also analyzed the highest and lowest records above mentioned different aspects of tourism literature published in the study period. Studies come to conclude based on publication indexed in "web of science" during the years from 2015 to 2019 is that the scientometric study may assistance to expand the better research productivity of India and world tourism.
This paper deals with the scientometric study on the publication on "Waste Management" ... more This paper deals with the scientometric study on the publication on "Waste Management" in India. The aim of the study is to measure the research output in Waste Management. The study is based on the data collected from Web of Science for a period of 2009-2018. The number of publications collected for this study was 1549 and various software tools such as Histcite, VOSviewer, and BibExcel were used to analyze the data. Analysis part focuses on the parameters like citation impact at local and global level, outstanding authors and their total output, ranking of contributing institutions and countries. The main objective of the study is to determine year wise distribution, the documents, growth of literature, author productivity, country wise productivity, and institution wise along with the review of literature related to area of scientometric research.
Blockchain, the foundation of Bitcoin, has received extensive attentions recently. Blockchain ser... more Blockchain, the foundation of Bitcoin, has received extensive attentions recently. Blockchain serves as an indisputable ledger which allows transactions take place in a decentralized style. Blockchain-based applications are springing up, covering abundant fields including economic services, reputation system and Internet of Things (IoT), and so on. This paper examines the global performance based on its publication output on Blockchain literature as indexed in Web of Science citation database during the period 2015 to 2019. A total of 1489 papers were indexed on "Blockchain" in the database during the 5 years of study. Histcite tool, MS-Excel spreadsheet and VOSviewer were used to scrutinize the data and for visualization respectively.
In this study, few studies have attempted to make a comprehensive and quantitative review on this... more In this study, few studies have attempted to make a comprehensive and quantitative review on this topic. This study conducted a scientometric review on the Earth Science research from 2015 to 2019 using HistCite. Totally 4200 articles from the Web of Science core collection database were selected as the research samples. Our result show that The highest publication output in the year of 2019 with 1026 records (24.43%) and lowest publications founded in the year of 2016 with 685 (16.31%) publications. The most vital development in Earth Science research occurred in the USA, China, England, Canada and Germany. We are Suggest special strengthening in building international partnerships since cooperation occurs in most countries. International cooperation can improve research performance and in the end it leads to better exploitation.
The Present Study analyzed research Productiveness in Information and Management, the internation... more The Present Study analyzed research Productiveness in Information and Management, the international journal of information systems theories and applications for a period of 30 years between 1989 and 2018. Web of Science database a service from Clarivate Analytics has been used to download citation and source data. Bibexcel and Histcite application software have been used to present the datasets. Analysis part focuses on the parameters like citation impact at local and global level, outstanding authors and their total output, ranking of contributing institutions and countries. In addition to this scientographical mapping of data is presented through graphs using VOSviewer software mapping technique.
Can COVID-19 Change the Big5 Personality Traits of Healthcare Workers?
7th International Conference on Networking, Systems and Security, 2020
To curb the spread of the coronavirus, authorities around the world implemented lockdown measures... more To curb the spread of the coronavirus, authorities around the world implemented lockdown measures for months. In these locked down days, people as well as healthcare workers (HWs) are increasingly relying on social media platforms to socialize among themselves and get the latest updates of this pandemic situation. As a result, social media users’ interaction data have become a key resource in analyzing their behaviors. COVID-19 is the first global pandemic in the global scale after the appearance of social media. HWs such as physicians, nurses, technicians, and hospital support staff provide essential services to the patients with COVID-19 even after having lack of sufficient equipment, poor preparation, and risking their own lives. These HWs may experience sudden change in their personality traits due to pandemic, which are not studied in the existing literature. In this paper, we investigate how the pandemic influences Big5 personality traits of HWs using social media data. Our analysis shows that HWs’ neuroticism, conscientiousness, and extroversion have increased significantly due to pandemic. In contrast, we observe a decrease of HWs’ agreeableness and openness dimensions of Big5 personality.
In recent years, Location-Based Social Networking (LBSN) sites such as Foursquare, Facebook Place... more In recent years, Location-Based Social Networking (LBSN) sites such as Foursquare, Facebook Places, and Twitter have become extremely popular due to the extensive usage of location-enabled smart phone technologies. These LBSNs allow users to post their check-ins that provide important set of information about users' activities and preferences. Several existing research works predict users' activities from social media check-ins data considering various aspects such as time, venue, and occurrences. However, none of the earlier studies investigate the influence of weather on users' preferences of activities and mode of transportation preferences. Psychological studies show that weather has a strong influence on human activities. In this paper, we predict users' travel mode, day/night time activities and future visit from weather condition derived from social media check-ins. In particular, we develop several classification models to predict users' preferable mode of transportation, day/night activities, and future visits from the users' checkins based on different weather conditions. We use two real datasets: Tokyo and New York city to validate our models. Our classifiers achieve substantial strength (on an average AUC of 72.77%) to predict users' mode of transportation, day/night activities and their future visit preferences for Tokyo dataset. We also compare performance of the classifiers developed by these two datasets. INDEX TERMS Foursquare, check-ins, weather, correlation, classification.
FIFA world cup is the most prestigious football tournament and widely viewed sporting event in th... more FIFA world cup is the most prestigious football tournament and widely viewed sporting event in the world. People support different teams (countries) of FIFA world cup based on players' skills, number of winning trophies, and deliberate strategies that are applied by these teams during the tournament. These people share their opinion, criticism, love, and affection on the social media, i.e., Twitter. In this paper, we predict users' FIFA world cup supporting preference from their tweets. First, we analyze user's tweets and build two different types of classifiers by using LIWC and ELMo Word Embedding based techniques. These classifiers predict which team a user prefers from her word usage pattern in tweets. We find that Random Forest classifier performs the best for LIWC based model. We also find deep learning based word embedding technique, ELMo, achieves decent potential to predict users' team supporting preference. Later, we build a multi-level weighted ensemble model to integrate both of the independent models, i.e., LIWC and ELMo. Our ensemble model shows substantial prediction potential (average accuracy-83.5%) to predict users' FIFA world cup supporting preference from their tweets.
l-tryptophan-histidine synthesis by Pseudomonas serine peptidase, an amino acid ester hydrolase of the peptidase family S9
Enzyme and Microbial Technology, 2021
Pseudomonas sp. KM1 produces an amino acid ester hydrolase (KM1AEH) that catalyzes peptide bond f... more Pseudomonas sp. KM1 produces an amino acid ester hydrolase (KM1AEH) that catalyzes peptide bond formation by acting on carboxylic ester bonds. The KM1AEH gene was cloned from genomic DNA and expressed in Escherichia coli. The recombinant enzyme (rKM1AEH) was purified, and gel filtration showed that it is a 68 kDa monomeric protein. rKM1AEH can synthesize the vasoactive dipeptide tryptophan-histidine from tryptophan methyl ester and histidine as acyl donor and acceptor, respectively. The enzyme showed maximum activity at pH 9.5 and 45 °C and was specifically inhibited by silver (Ag+). Mutation of the catalytic Ser459 residue in the active site of rKM1AEH with Ala, Cys, or Thr eliminated all catalytic activity. The enzyme is a novel ester hydrolase that belongs to the peptidase family S9 based on the phylogenetic analysis.
Asian Journal of Medical and Biological Research, 2020
Climate change is a global threat to the world especially for Bangladesh, due to its geographical... more Climate change is a global threat to the world especially for Bangladesh, due to its geographical location. The present study was carried out to the impacts of climate change on livelihood of the fishers at the Meghna, Laukhati and Galachipa river in Bangladesh. The study was assessing the effects of climate change on fishersˊ community in the Meghna, Laukhati and Galachipa rivers near Chandpur and Patuakhali districts. The data on fishersˊ livelihood were collected by using a well-developed questionnaire from the selected areas. The average temperature was recorded as 30.5±0.90°C, 27.1±1.05°C and 27.4±0.60°C and the dissolved oxygen was as 6.37±1.11 mg/L, 5.63±0.33 mg/L and 6.33±0.51 mg/L in the Meghna, Laukhati and Galachipa rivers, respectively. The pH was as 8.3±0.59, 8.03±0.50 and 7.8±0.50 and the salinity was as 0.10±0.10, 0.23±0.13 and 1.2±0.15 ppt in the Meghna, Galachipa and Laukhati rivers, respectively. In the present study, it was found that most of the fishers were belo...
The One Belt One Road (OBOR) initiative is a historical landmark which intends to connect more th... more The One Belt One Road (OBOR) initiative is a historical landmark which intends to connect more than two-thirds of the world population and opening up the windows for reviving global business, peace and infrastructural development across the countries. The main purpose of this paper is to discuss the OBOR initiative in general and also, to analyze its contribution towards economy and development. The sources of this paper are the published literature, newspaper articles and web information. The paper suggests that though some countries will be benefitted more due to the strategic location advantages, all the member countries will be advantageous if they can use the opportunity with better policy implementation. The authors hope that this paper will be useful for the academicians, policy makers and businessmen who want to study further and implement policies according to the OBOR plan.
The Indian subcontinent is a place where three wheeler rickshaws are driven by human power for tr... more The Indian subcontinent is a place where three wheeler rickshaws are driven by human power for transportation system. As a result, large portion of energy are wasted by human being through pedaling. Since pedaling is one kind of kinetic energy, so it can be converted into electric energy by using dynamo which produce 6 W electricity. As sun & pedal are the source of energy, so these energy can be stored into the battery which is used to supply power to the motor to drive the rickshaw automatically. The implementation of this system would be beneficial and efficient, because these are not only depending on the availability of sun.
American Scientific Research Journal for Engineering, Technology, and Sciences, 2017
Choosing sustainable electronic device is a growing concern among the peoples of Bangladesh. A pe... more Choosing sustainable electronic device is a growing concern among the peoples of Bangladesh. A perfect choice can reduce the Cost as well as sufferings. In this paper, we have considered four smart phone manufacturing company corresponding four major features such as Android version, Battery power, RAM and Cost which is characterized by weighted value under fuzzy consideration to find a sustainable device. This selection is illustrated by modified TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for normalizing the given data. TOPSIS is one of the numerical methods of the multi-criteria decisions making (MCDM), which is a broadly applicable method with a simple mathematical model. Furthermore, the numerical analysis suggests that, modified TOPSIS method could be very effective to find a sustainable device which can also be cost effective for the peoples of Bangladesh.
Deriving interpersonal role identities from social network interactions
Proceedings of the 6th International Conference on Networking, Systems and Security, 2019
In recent years, social networking sites (SNS) have been transformed into virtual societies where... more In recent years, social networking sites (SNS) have been transformed into virtual societies where users express their feelings, share opinions, and socialize with friends, families, and co-workers. Users in these sites are still connected with each other with so called friends/followers relationships which are not representative of the real life role identities. However, a single person can play multiple roles in a society. For example, a person has a family member role identity with his wife, professional member role identity with his colleagues and academic member role identity with his class fellows. Thus, the same person can interact differently with different people based on her role identity with her counterpart. In this paper, we have predicted interpersonal role identities (e.g., family members, academic members, professional members, friends, and acquaintances) of a user with other connected members in an egocentric network (e.g., Facebook) from their word use patterns duri...
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